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Automated Leaderboard Update
Browse files- all_data_tasks/0/default.jsonl +10 -10
- all_data_tasks/1/default.jsonl +13 -13
- all_data_tasks/10/default.jsonl +6 -6
- all_data_tasks/11/default.jsonl +3 -3
- all_data_tasks/12/default.jsonl +4 -4
- all_data_tasks/18/default.jsonl +2 -2
- all_data_tasks/19/default.jsonl +2 -2
- all_data_tasks/2/default.jsonl +17 -17
- all_data_tasks/22/default.jsonl +5 -5
- all_data_tasks/3/default.jsonl +12 -12
- all_data_tasks/4/default.jsonl +9 -9
- all_data_tasks/5/default.jsonl +12 -12
- all_data_tasks/6/default.jsonl +53 -53
- all_data_tasks/9/default.jsonl +2 -2
- boards_data/en/data_overall/default.jsonl +9 -9
- boards_data/en/data_tasks/Classification/default.jsonl +10 -10
- boards_data/en/data_tasks/Clustering/default.jsonl +13 -13
- boards_data/en/data_tasks/PairClassification/default.jsonl +17 -17
- boards_data/en/data_tasks/Reranking/default.jsonl +12 -12
- boards_data/en/data_tasks/Retrieval/default.jsonl +9 -9
- boards_data/en/data_tasks/STS/default.jsonl +12 -12
- boards_data/en/data_tasks/Summarization/default.jsonl +53 -53
- boards_data/fr/data_tasks/PairClassification/default.jsonl +2 -2
- boards_data/fr/data_tasks/Reranking/default.jsonl +2 -2
- boards_data/fr/data_tasks/Summarization/default.jsonl +5 -5
- boards_data/zh/data_overall/default.jsonl +2 -2
- boards_data/zh/data_tasks/Clustering/default.jsonl +2 -2
- boards_data/zh/data_tasks/PairClassification/default.jsonl +6 -6
- boards_data/zh/data_tasks/Reranking/default.jsonl +3 -3
- boards_data/zh/data_tasks/Retrieval/default.jsonl +4 -4
all_data_tasks/0/default.jsonl
CHANGED
@@ -34,11 +34,11 @@
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{"index":106,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":75.58,"AmazonCounterfactualClassification (en)":75.55,"AmazonPolarityClassification":92.84,"AmazonReviewsClassification (en)":48.29,"Banking77Classification":87.69,"EmotionClassification":51.75,"ImdbClassification":92.78,"MassiveIntentClassification (en)":76.5,"MassiveScenarioClassification (en)":79.75,"MTOPDomainClassification (en)":94.02,"MTOPIntentClassification (en)":76.92,"ToxicConversationsClassification":71.09,"TweetSentimentExtractionClassification":59.75}
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{"index":
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{"index":
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{"index":
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{"index":
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{"index":116,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":75.53,"AmazonCounterfactualClassification (en)":76.15,"AmazonPolarityClassification":93.39,"AmazonReviewsClassification (en)":48.85,"Banking77Classification":86.95,"EmotionClassification":51.9,"ImdbClassification":90.81,"MassiveIntentClassification (en)":76.15,"MassiveScenarioClassification (en)":80.16,"MTOPDomainClassification (en)":94.17,"MTOPIntentClassification (en)":76.91,"ToxicConversationsClassification":71.58,"TweetSentimentExtractionClassification":59.38}
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{"index":266,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":75.45,"AmazonCounterfactualClassification (en)":78.93,"AmazonPolarityClassification":92.85,"AmazonReviewsClassification (en)":48.7,"Banking77Classification":85.69,"EmotionClassification":51.58,"ImdbClassification":87.67,"MassiveIntentClassification (en)":74.64,"MassiveScenarioClassification (en)":79.79,"MTOPDomainClassification (en)":95.36,"MTOPIntentClassification (en)":75.07,"ToxicConversationsClassification":72.92,"TweetSentimentExtractionClassification":62.22}
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{"index":138,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Average":75.28,"AmazonCounterfactualClassification (en)":77.19,"AmazonPolarityClassification":93.26,"AmazonReviewsClassification (en)":49.61,"Banking77Classification":84.73,"EmotionClassification":54.47,"ImdbClassification":91.31,"MassiveIntentClassification (en)":73.88,"MassiveScenarioClassification (en)":78.28,"MTOPDomainClassification (en)":93.5,"MTOPIntentClassification (en)":71.06,"ToxicConversationsClassification":72.99,"TweetSentimentExtractionClassification":63.07}
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{"index":33,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":74.31,"AmazonCounterfactualClassification (en)":78.63,"AmazonPolarityClassification":94.8,"AmazonReviewsClassification (en)":51.02,"Banking77Classification":79.7,"EmotionClassification":52.74,"ImdbClassification":92.17,"MassiveIntentClassification (en)":70.01,"MassiveScenarioClassification (en)":76.34,"MTOPDomainClassification (en)":93.63,"MTOPIntentClassification (en)":64.93,"ToxicConversationsClassification":73.04,"TweetSentimentExtractionClassification":64.72}
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{"index":
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{"index":
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{"index":27,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":74.12,"AmazonCounterfactualClassification (en)":76.85,"AmazonPolarityClassification":91.52,"AmazonReviewsClassification (en)":47.36,"Banking77Classification":84.54,"EmotionClassification":48.35,"ImdbClassification":85.56,"MassiveIntentClassification (en)":73.72,"MassiveScenarioClassification (en)":77.8,"MTOPDomainClassification (en)":93.41,"MTOPIntentClassification (en)":77.25,"ToxicConversationsClassification":71.5,"TweetSentimentExtractionClassification":61.54}
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{"index":
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{"index":26,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":74.12,"AmazonCounterfactualClassification (en)":76.85,"AmazonPolarityClassification":91.52,"AmazonReviewsClassification (en)":47.36,"Banking77Classification":84.54,"EmotionClassification":48.35,"ImdbClassification":85.56,"MassiveIntentClassification (en)":73.72,"MassiveScenarioClassification (en)":77.8,"MTOPDomainClassification (en)":93.41,"MTOPIntentClassification (en)":77.25,"ToxicConversationsClassification":71.5,"TweetSentimentExtractionClassification":61.54}
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{"index":64,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":74.07,"AmazonCounterfactualClassification (en)":76.94,"AmazonPolarityClassification":85.29,"AmazonReviewsClassification (en)":47.09,"Banking77Classification":86.16,"EmotionClassification":48.88,"ImdbClassification":77.95,"MassiveIntentClassification (en)":76.65,"MassiveScenarioClassification (en)":79.99,"MTOPDomainClassification (en)":95.48,"MTOPIntentClassification (en)":82.84,"ToxicConversationsClassification":70.71,"TweetSentimentExtractionClassification":60.9}
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{"index":156,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":73.96,"AmazonCounterfactualClassification (en)":70.85,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":48.94,"Banking77Classification":84.61,"EmotionClassification":54.9,"ImdbClassification":93.14,"MassiveIntentClassification (en)":73.49,"MassiveScenarioClassification (en)":77.38,"MTOPDomainClassification (en)":93.64,"MTOPIntentClassification (en)":66.01,"ToxicConversationsClassification":71.19,"TweetSentimentExtractionClassification":61.55}
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{"index":70,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Venusaur\">Venusaur<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Average":67.77,"AmazonCounterfactualClassification (en)":73.18,"AmazonPolarityClassification":79.99,"AmazonReviewsClassification (en)":39.66,"Banking77Classification":77.95,"EmotionClassification":44.38,"ImdbClassification":73.02,"MassiveIntentClassification (en)":67.75,"MassiveScenarioClassification (en)":72.36,"MTOPDomainClassification (en)":89.87,"MTOPIntentClassification (en)":71.03,"ToxicConversationsClassification":64.41,"TweetSentimentExtractionClassification":59.66}
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{"index":158,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":67.76,"AmazonCounterfactualClassification (en)":68.93,"AmazonPolarityClassification":69.14,"AmazonReviewsClassification (en)":31.38,"Banking77Classification":85.34,"EmotionClassification":45.84,"ImdbClassification":66.42,"MassiveIntentClassification (en)":72.73,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":92.83,"MTOPIntentClassification (en)":76.09,"ToxicConversationsClassification":69.13,"TweetSentimentExtractionClassification":58.16}
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{"index":66,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse\">LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Average":67.67,"AmazonCounterfactualClassification (en)":72.93,"AmazonPolarityClassification":74.28,"AmazonReviewsClassification (en)":36.14,"Banking77Classification":79.0,"EmotionClassification":42.85,"ImdbClassification":71.92,"MassiveIntentClassification (en)":69.99,"MassiveScenarioClassification (en)":75.15,"MTOPDomainClassification (en)":91.24,"MTOPIntentClassification (en)":74.08,"ToxicConversationsClassification":68.4,"TweetSentimentExtractionClassification":56.08}
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{"index":
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{"index":221,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Average":67.41,"AmazonCounterfactualClassification (en)":67.3,"AmazonPolarityClassification":75.05,"AmazonReviewsClassification (en)":37.3,"Banking77Classification":82.32,"EmotionClassification":43.19,"ImdbClassification":70.8,"MassiveIntentClassification (en)":70.61,"MassiveScenarioClassification (en)":77.77,"MTOPDomainClassification (en)":93.84,"MTOPIntentClassification (en)":67.71,"ToxicConversationsClassification":68.48,"TweetSentimentExtractionClassification":54.54}
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{"index":200,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/sup-simcse-bert-base-uncased\">sup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":67.32,"AmazonCounterfactualClassification (en)":75.75,"AmazonPolarityClassification":82.47,"AmazonReviewsClassification (en)":39.6,"Banking77Classification":75.76,"EmotionClassification":44.81,"ImdbClassification":73.53,"MassiveIntentClassification (en)":65.95,"MassiveScenarioClassification (en)":70.78,"MTOPDomainClassification (en)":84.29,"MTOPIntentClassification (en)":63.14,"ToxicConversationsClassification":72.04,"TweetSentimentExtractionClassification":59.73}
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{"index":44,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Hum-Works\/lodestone-base-4096-v1\">lodestone-base-4096-v1<\/a>","Model Size (Million Parameters)":69,"Memory Usage (GB, fp32)":0.26,"Average":67.3,"AmazonCounterfactualClassification (en)":69.73,"AmazonPolarityClassification":86.9,"AmazonReviewsClassification (en)":44.05,"Banking77Classification":75.41,"EmotionClassification":41.99,"ImdbClassification":79.54,"MassiveIntentClassification (en)":63.34,"MassiveScenarioClassification (en)":72.37,"MTOPDomainClassification (en)":89.67,"MTOPIntentClassification (en)":60.28,"ToxicConversationsClassification":67.94,"TweetSentimentExtractionClassification":56.41}
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{"index":61,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Average":75.92,"AmazonCounterfactualClassification (en)":79.94,"AmazonPolarityClassification":86.07,"AmazonReviewsClassification (en)":46.84,"Banking77Classification":88.05,"EmotionClassification":51.2,"ImdbClassification":82.94,"MassiveIntentClassification (en)":79.8,"MassiveScenarioClassification (en)":81.52,"MTOPDomainClassification (en)":96.14,"MTOPIntentClassification (en)":86.11,"ToxicConversationsClassification":70.59,"TweetSentimentExtractionClassification":61.9}
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{"index":167,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":75.53,"AmazonCounterfactualClassification (en)":76.15,"AmazonPolarityClassification":93.39,"AmazonReviewsClassification (en)":48.85,"Banking77Classification":86.95,"EmotionClassification":51.9,"ImdbClassification":90.81,"MassiveIntentClassification (en)":76.15,"MassiveScenarioClassification (en)":80.16,"MTOPDomainClassification (en)":94.17,"MTOPIntentClassification (en)":76.91,"ToxicConversationsClassification":71.58,"TweetSentimentExtractionClassification":59.38}
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40 |
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{"index":165,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":75.53,"AmazonCounterfactualClassification (en)":76.15,"AmazonPolarityClassification":93.39,"AmazonReviewsClassification (en)":48.85,"Banking77Classification":86.95,"EmotionClassification":51.9,"ImdbClassification":90.81,"MassiveIntentClassification (en)":76.15,"MassiveScenarioClassification (en)":80.16,"MTOPDomainClassification (en)":94.17,"MTOPIntentClassification (en)":76.91,"ToxicConversationsClassification":71.58,"TweetSentimentExtractionClassification":59.38}
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42 |
{"index":116,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":75.53,"AmazonCounterfactualClassification (en)":76.15,"AmazonPolarityClassification":93.39,"AmazonReviewsClassification (en)":48.85,"Banking77Classification":86.95,"EmotionClassification":51.9,"ImdbClassification":90.81,"MassiveIntentClassification (en)":76.15,"MassiveScenarioClassification (en)":80.16,"MTOPDomainClassification (en)":94.17,"MTOPIntentClassification (en)":76.91,"ToxicConversationsClassification":71.58,"TweetSentimentExtractionClassification":59.38}
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43 |
{"index":266,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":75.45,"AmazonCounterfactualClassification (en)":78.93,"AmazonPolarityClassification":92.85,"AmazonReviewsClassification (en)":48.7,"Banking77Classification":85.69,"EmotionClassification":51.58,"ImdbClassification":87.67,"MassiveIntentClassification (en)":74.64,"MassiveScenarioClassification (en)":79.79,"MTOPDomainClassification (en)":95.36,"MTOPIntentClassification (en)":75.07,"ToxicConversationsClassification":72.92,"TweetSentimentExtractionClassification":62.22}
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44 |
{"index":138,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Average":75.28,"AmazonCounterfactualClassification (en)":77.19,"AmazonPolarityClassification":93.26,"AmazonReviewsClassification (en)":49.61,"Banking77Classification":84.73,"EmotionClassification":54.47,"ImdbClassification":91.31,"MassiveIntentClassification (en)":73.88,"MassiveScenarioClassification (en)":78.28,"MTOPDomainClassification (en)":93.5,"MTOPIntentClassification (en)":71.06,"ToxicConversationsClassification":72.99,"TweetSentimentExtractionClassification":63.07}
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51 |
{"index":33,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":74.31,"AmazonCounterfactualClassification (en)":78.63,"AmazonPolarityClassification":94.8,"AmazonReviewsClassification (en)":51.02,"Banking77Classification":79.7,"EmotionClassification":52.74,"ImdbClassification":92.17,"MassiveIntentClassification (en)":70.01,"MassiveScenarioClassification (en)":76.34,"MTOPDomainClassification (en)":93.63,"MTOPIntentClassification (en)":64.93,"ToxicConversationsClassification":73.04,"TweetSentimentExtractionClassification":64.72}
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52 |
{"index":24,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":74.14,"AmazonCounterfactualClassification (en)":73.79,"AmazonPolarityClassification":92.75,"AmazonReviewsClassification (en)":46.99,"Banking77Classification":85.74,"EmotionClassification":47.84,"ImdbClassification":90.61,"MassiveIntentClassification (en)":74.81,"MassiveScenarioClassification (en)":78.7,"MTOPDomainClassification (en)":93.36,"MTOPIntentClassification (en)":74.75,"ToxicConversationsClassification":69.89,"TweetSentimentExtractionClassification":60.51}
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53 |
{"index":179,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":74.14,"AmazonCounterfactualClassification (en)":74.76,"AmazonPolarityClassification":93.26,"AmazonReviewsClassification (en)":46.16,"Banking77Classification":86.65,"EmotionClassification":49.32,"ImdbClassification":90.4,"MassiveIntentClassification (en)":73.87,"MassiveScenarioClassification (en)":78.17,"MTOPDomainClassification (en)":93.1,"MTOPIntentClassification (en)":73.24,"ToxicConversationsClassification":71.53,"TweetSentimentExtractionClassification":59.25}
|
54 |
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{"index":189,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":74.12,"AmazonCounterfactualClassification (en)":76.85,"AmazonPolarityClassification":91.52,"AmazonReviewsClassification (en)":47.36,"Banking77Classification":84.54,"EmotionClassification":48.35,"ImdbClassification":85.56,"MassiveIntentClassification (en)":73.72,"MassiveScenarioClassification (en)":77.8,"MTOPDomainClassification (en)":93.41,"MTOPIntentClassification (en)":77.25,"ToxicConversationsClassification":71.5,"TweetSentimentExtractionClassification":61.54}
|
55 |
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{"index":29,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":74.12,"AmazonCounterfactualClassification (en)":76.85,"AmazonPolarityClassification":91.52,"AmazonReviewsClassification (en)":47.36,"Banking77Classification":84.54,"EmotionClassification":48.35,"ImdbClassification":85.56,"MassiveIntentClassification (en)":73.72,"MassiveScenarioClassification (en)":77.8,"MTOPDomainClassification (en)":93.41,"MTOPIntentClassification (en)":77.25,"ToxicConversationsClassification":71.5,"TweetSentimentExtractionClassification":61.54}
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56 |
{"index":27,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":74.12,"AmazonCounterfactualClassification (en)":76.85,"AmazonPolarityClassification":91.52,"AmazonReviewsClassification (en)":47.36,"Banking77Classification":84.54,"EmotionClassification":48.35,"ImdbClassification":85.56,"MassiveIntentClassification (en)":73.72,"MassiveScenarioClassification (en)":77.8,"MTOPDomainClassification (en)":93.41,"MTOPIntentClassification (en)":77.25,"ToxicConversationsClassification":71.5,"TweetSentimentExtractionClassification":61.54}
|
57 |
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{"index":28,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":74.12,"AmazonCounterfactualClassification (en)":76.85,"AmazonPolarityClassification":91.52,"AmazonReviewsClassification (en)":47.36,"Banking77Classification":84.54,"EmotionClassification":48.35,"ImdbClassification":85.56,"MassiveIntentClassification (en)":73.72,"MassiveScenarioClassification (en)":77.8,"MTOPDomainClassification (en)":93.41,"MTOPIntentClassification (en)":77.25,"ToxicConversationsClassification":71.5,"TweetSentimentExtractionClassification":61.54}
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58 |
{"index":26,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":74.12,"AmazonCounterfactualClassification (en)":76.85,"AmazonPolarityClassification":91.52,"AmazonReviewsClassification (en)":47.36,"Banking77Classification":84.54,"EmotionClassification":48.35,"ImdbClassification":85.56,"MassiveIntentClassification (en)":73.72,"MassiveScenarioClassification (en)":77.8,"MTOPDomainClassification (en)":93.41,"MTOPIntentClassification (en)":77.25,"ToxicConversationsClassification":71.5,"TweetSentimentExtractionClassification":61.54}
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59 |
{"index":64,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":74.07,"AmazonCounterfactualClassification (en)":76.94,"AmazonPolarityClassification":85.29,"AmazonReviewsClassification (en)":47.09,"Banking77Classification":86.16,"EmotionClassification":48.88,"ImdbClassification":77.95,"MassiveIntentClassification (en)":76.65,"MassiveScenarioClassification (en)":79.99,"MTOPDomainClassification (en)":95.48,"MTOPIntentClassification (en)":82.84,"ToxicConversationsClassification":70.71,"TweetSentimentExtractionClassification":60.9}
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60 |
{"index":156,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":73.96,"AmazonCounterfactualClassification (en)":70.85,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":48.94,"Banking77Classification":84.61,"EmotionClassification":54.9,"ImdbClassification":93.14,"MassiveIntentClassification (en)":73.49,"MassiveScenarioClassification (en)":77.38,"MTOPDomainClassification (en)":93.64,"MTOPIntentClassification (en)":66.01,"ToxicConversationsClassification":71.19,"TweetSentimentExtractionClassification":61.55}
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122 |
{"index":70,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Venusaur\">Venusaur<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Average":67.77,"AmazonCounterfactualClassification (en)":73.18,"AmazonPolarityClassification":79.99,"AmazonReviewsClassification (en)":39.66,"Banking77Classification":77.95,"EmotionClassification":44.38,"ImdbClassification":73.02,"MassiveIntentClassification (en)":67.75,"MassiveScenarioClassification (en)":72.36,"MTOPDomainClassification (en)":89.87,"MTOPIntentClassification (en)":71.03,"ToxicConversationsClassification":64.41,"TweetSentimentExtractionClassification":59.66}
|
123 |
{"index":158,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":67.76,"AmazonCounterfactualClassification (en)":68.93,"AmazonPolarityClassification":69.14,"AmazonReviewsClassification (en)":31.38,"Banking77Classification":85.34,"EmotionClassification":45.84,"ImdbClassification":66.42,"MassiveIntentClassification (en)":72.73,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":92.83,"MTOPIntentClassification (en)":76.09,"ToxicConversationsClassification":69.13,"TweetSentimentExtractionClassification":58.16}
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124 |
{"index":66,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse\">LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Average":67.67,"AmazonCounterfactualClassification (en)":72.93,"AmazonPolarityClassification":74.28,"AmazonReviewsClassification (en)":36.14,"Banking77Classification":79.0,"EmotionClassification":42.85,"ImdbClassification":71.92,"MassiveIntentClassification (en)":69.99,"MassiveScenarioClassification (en)":75.15,"MTOPDomainClassification (en)":91.24,"MTOPIntentClassification (en)":74.08,"ToxicConversationsClassification":68.4,"TweetSentimentExtractionClassification":56.08}
|
125 |
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{"index":74,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v3\">gte-micro-v3<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":67.47,"AmazonCounterfactualClassification (en)":71.43,"AmazonPolarityClassification":77.72,"AmazonReviewsClassification (en)":38.96,"Banking77Classification":80.4,"EmotionClassification":44.54,"ImdbClassification":70.59,"MassiveIntentClassification (en)":68.5,"MassiveScenarioClassification (en)":73.55,"MTOPDomainClassification (en)":90.5,"MTOPIntentClassification (en)":67.52,"ToxicConversationsClassification":66.69,"TweetSentimentExtractionClassification":59.29}
|
126 |
+
{"index":73,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v2\">gte-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":67.47,"AmazonCounterfactualClassification (en)":71.43,"AmazonPolarityClassification":77.72,"AmazonReviewsClassification (en)":38.96,"Banking77Classification":80.4,"EmotionClassification":44.54,"ImdbClassification":70.59,"MassiveIntentClassification (en)":68.5,"MassiveScenarioClassification (en)":73.55,"MTOPDomainClassification (en)":90.5,"MTOPIntentClassification (en)":67.52,"ToxicConversationsClassification":66.69,"TweetSentimentExtractionClassification":59.29}
|
127 |
{"index":221,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Average":67.41,"AmazonCounterfactualClassification (en)":67.3,"AmazonPolarityClassification":75.05,"AmazonReviewsClassification (en)":37.3,"Banking77Classification":82.32,"EmotionClassification":43.19,"ImdbClassification":70.8,"MassiveIntentClassification (en)":70.61,"MassiveScenarioClassification (en)":77.77,"MTOPDomainClassification (en)":93.84,"MTOPIntentClassification (en)":67.71,"ToxicConversationsClassification":68.48,"TweetSentimentExtractionClassification":54.54}
|
128 |
{"index":200,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/sup-simcse-bert-base-uncased\">sup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":67.32,"AmazonCounterfactualClassification (en)":75.75,"AmazonPolarityClassification":82.47,"AmazonReviewsClassification (en)":39.6,"Banking77Classification":75.76,"EmotionClassification":44.81,"ImdbClassification":73.53,"MassiveIntentClassification (en)":65.95,"MassiveScenarioClassification (en)":70.78,"MTOPDomainClassification (en)":84.29,"MTOPIntentClassification (en)":63.14,"ToxicConversationsClassification":72.04,"TweetSentimentExtractionClassification":59.73}
|
129 |
{"index":44,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Hum-Works\/lodestone-base-4096-v1\">lodestone-base-4096-v1<\/a>","Model Size (Million Parameters)":69,"Memory Usage (GB, fp32)":0.26,"Average":67.3,"AmazonCounterfactualClassification (en)":69.73,"AmazonPolarityClassification":86.9,"AmazonReviewsClassification (en)":44.05,"Banking77Classification":75.41,"EmotionClassification":41.99,"ImdbClassification":79.54,"MassiveIntentClassification (en)":63.34,"MassiveScenarioClassification (en)":72.37,"MTOPDomainClassification (en)":89.67,"MTOPIntentClassification (en)":60.28,"ToxicConversationsClassification":67.94,"TweetSentimentExtractionClassification":56.41}
|
all_data_tasks/1/default.jsonl
CHANGED
@@ -40,11 +40,11 @@
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|
40 |
{"index":179,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":46.07,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.34,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":36.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.22,"RedditClustering":57.93,"RedditClusteringP2P":62.47,"StackExchangeClustering":66.41,"StackExchangeClusteringP2P":35.32,"TwentyNewsgroupsClustering":51.48}
|
41 |
{"index":264,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":45.9,"ArxivClusteringP2P":45.01,"ArxivClusteringS2S":36.85,"BiorxivClusteringP2P":36.66,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":32.6,"MedrxivClusteringS2S":30.8,"RedditClustering":61.42,"RedditClusteringP2P":64.13,"StackExchangeClustering":72.22,"StackExchangeClusteringP2P":38.49,"TwentyNewsgroupsClustering":52.56}
|
42 |
{"index":20,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":45.81,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":36.62,"MedrxivClusteringP2P":33.21,"MedrxivClusteringS2S":31.68,"RedditClustering":56.61,"RedditClusteringP2P":62.66,"StackExchangeClustering":66.11,"StackExchangeClusteringP2P":35.24,"TwentyNewsgroupsClustering":50.75}
|
43 |
-
{"index":
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44 |
-
{"index":
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45 |
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{"index":
|
46 |
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{"index":
|
47 |
-
{"index":
|
48 |
{"index":172,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":45.58,"ArxivClusteringP2P":48.58,"ArxivClusteringS2S":43.14,"BiorxivClusteringP2P":38.84,"BiorxivClusteringS2S":36.38,"MedrxivClusteringP2P":31.96,"MedrxivClusteringS2S":30.88,"RedditClustering":57.61,"RedditClusteringP2P":64.03,"StackExchangeClustering":65.54,"StackExchangeClusteringP2P":33.98,"TwentyNewsgroupsClustering":50.41}
|
49 |
{"index":63,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":45.54,"ArxivClusteringP2P":42.81,"ArxivClusteringS2S":44.24,"BiorxivClusteringP2P":34.27,"BiorxivClusteringS2S":35.53,"MedrxivClusteringP2P":31.07,"MedrxivClusteringS2S":31.27,"RedditClustering":60.24,"RedditClusteringP2P":64.12,"StackExchangeClustering":70.73,"StackExchangeClusteringP2P":34.5,"TwentyNewsgroupsClustering":52.18}
|
50 |
{"index":136,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":45.29,"ArxivClusteringP2P":43.16,"ArxivClusteringS2S":32.56,"BiorxivClusteringP2P":37.62,"BiorxivClusteringS2S":31.33,"MedrxivClusteringP2P":34.22,"MedrxivClusteringS2S":32.0,"RedditClustering":63.65,"RedditClusteringP2P":64.63,"StackExchangeClustering":68.78,"StackExchangeClusteringP2P":36.15,"TwentyNewsgroupsClustering":54.13}
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@@ -59,14 +59,14 @@
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|
59 |
{"index":33,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":44.64,"ArxivClusteringP2P":46.19,"ArxivClusteringS2S":37.58,"BiorxivClusteringP2P":38.97,"BiorxivClusteringS2S":34.52,"MedrxivClusteringP2P":37.66,"MedrxivClusteringS2S":33.54,"RedditClustering":53.5,"RedditClusteringP2P":63.59,"StackExchangeClustering":62.94,"StackExchangeClusteringP2P":36.48,"TwentyNewsgroupsClustering":46.06}
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60 |
{"index":142,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":44.49,"ArxivClusteringP2P":45.55,"ArxivClusteringS2S":41.02,"BiorxivClusteringP2P":37.36,"BiorxivClusteringS2S":34.85,"MedrxivClusteringP2P":31.82,"MedrxivClusteringS2S":30.38,"RedditClustering":55.83,"RedditClusteringP2P":63.38,"StackExchangeClustering":65.92,"StackExchangeClusteringP2P":33.67,"TwentyNewsgroupsClustering":49.6}
|
61 |
{"index":196,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
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62 |
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{"index":
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63 |
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{"index":
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64 |
{"index":27,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
|
65 |
-
{"index":
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66 |
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{"index":
|
67 |
{"index":24,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":43.82,"ArxivClusteringP2P":47.4,"ArxivClusteringS2S":40.02,"BiorxivClusteringP2P":38.47,"BiorxivClusteringS2S":34.72,"MedrxivClusteringP2P":33.06,"MedrxivClusteringS2S":30.86,"RedditClustering":52.32,"RedditClusteringP2P":60.64,"StackExchangeClustering":60.78,"StackExchangeClusteringP2P":35.27,"TwentyNewsgroupsClustering":48.52}
|
68 |
-
{"index":
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69 |
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{"index":
|
70 |
{"index":229,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Average":43.72,"ArxivClusteringP2P":42.89,"ArxivClusteringS2S":33.47,"BiorxivClusteringP2P":36.53,"BiorxivClusteringS2S":28.66,"MedrxivClusteringP2P":32.09,"MedrxivClusteringS2S":26.82,"RedditClustering":58.99,"RedditClusteringP2P":64.46,"StackExchangeClustering":70.78,"StackExchangeClusteringP2P":35.25,"TwentyNewsgroupsClustering":50.93}
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{"index":190,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.7,"ArxivClusteringP2P":45.85,"ArxivClusteringS2S":36.13,"BiorxivClusteringP2P":38.46,"BiorxivClusteringS2S":33.14,"MedrxivClusteringP2P":32.73,"MedrxivClusteringS2S":30.55,"RedditClustering":56.82,"RedditClusteringP2P":61.57,"StackExchangeClustering":63.18,"StackExchangeClusteringP2P":33.51,"TwentyNewsgroupsClustering":48.72}
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@@ -115,8 +115,8 @@
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{"index":226,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":40.21,"ArxivClusteringP2P":39.28,"ArxivClusteringS2S":27.26,"BiorxivClusteringP2P":33.99,"BiorxivClusteringS2S":22.92,"MedrxivClusteringP2P":33.2,"MedrxivClusteringS2S":26.13,"RedditClustering":52.93,"RedditClusteringP2P":59.67,"StackExchangeClustering":63.13,"StackExchangeClusteringP2P":35.68,"TwentyNewsgroupsClustering":48.1}
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{"index":163,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":40.08,"ArxivClusteringP2P":44.02,"ArxivClusteringS2S":35.16,"BiorxivClusteringP2P":35.57,"BiorxivClusteringS2S":29.07,"MedrxivClusteringP2P":31.86,"MedrxivClusteringS2S":27.51,"RedditClustering":49.28,"RedditClusteringP2P":57.09,"StackExchangeClustering":55.35,"StackExchangeClusteringP2P":34.42,"TwentyNewsgroupsClustering":41.57}
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{"index":178,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mgoin\/all-MiniLM-L6-v2-ds\">all-MiniLM-L6-v2-ds<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":39.94,"ArxivClusteringP2P":46.19,"ArxivClusteringS2S":36.91,"BiorxivClusteringP2P":38.59,"BiorxivClusteringS2S":32.32,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":29.92,"RedditClustering":45.63,"RedditClusteringP2P":53.37,"StackExchangeClustering":47.28,"StackExchangeClusteringP2P":34.25,"TwentyNewsgroupsClustering":42.38}
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{"index":
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{"index":
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{"index":81,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Average":39.83,"ArxivClusteringP2P":44.72,"ArxivClusteringS2S":35.08,"BiorxivClusteringP2P":34.41,"BiorxivClusteringS2S":30.53,"MedrxivClusteringP2P":31.35,"MedrxivClusteringS2S":28.77,"RedditClustering":46.47,"RedditClusteringP2P":54.17,"StackExchangeClustering":59.19,"StackExchangeClusteringP2P":32.57,"TwentyNewsgroupsClustering":40.89}
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{"index":75,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Average":39.54,"ArxivClusteringP2P":42.86,"ArxivClusteringS2S":32.48,"BiorxivClusteringP2P":36.83,"BiorxivClusteringS2S":29.24,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":30.8,"RedditClustering":48.28,"RedditClusteringP2P":53.56,"StackExchangeClustering":55.07,"StackExchangeClusteringP2P":31.92,"TwentyNewsgroupsClustering":41.37}
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{"index":144,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":39.51,"ArxivClusteringP2P":44.14,"ArxivClusteringS2S":37.14,"BiorxivClusteringP2P":35.81,"BiorxivClusteringS2S":31.86,"MedrxivClusteringP2P":31.34,"MedrxivClusteringS2S":28.2,"RedditClustering":42.87,"RedditClusteringP2P":56.39,"StackExchangeClustering":59.08,"StackExchangeClusteringP2P":30.3,"TwentyNewsgroupsClustering":37.51}
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{"index":179,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":46.07,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.34,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":36.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.22,"RedditClustering":57.93,"RedditClusteringP2P":62.47,"StackExchangeClustering":66.41,"StackExchangeClusteringP2P":35.32,"TwentyNewsgroupsClustering":51.48}
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{"index":264,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":45.9,"ArxivClusteringP2P":45.01,"ArxivClusteringS2S":36.85,"BiorxivClusteringP2P":36.66,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":32.6,"MedrxivClusteringS2S":30.8,"RedditClustering":61.42,"RedditClusteringP2P":64.13,"StackExchangeClustering":72.22,"StackExchangeClusteringP2P":38.49,"TwentyNewsgroupsClustering":52.56}
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{"index":167,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
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{"index":116,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
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{"index":165,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
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{"index":168,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
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{"index":166,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
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{"index":29,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
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{"index":26,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
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{"index":189,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
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{"index":28,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
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{"index":128,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Average":43.8,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.5,"BiorxivClusteringS2S":32.72,"MedrxivClusteringP2P":31.46,"MedrxivClusteringS2S":28.99,"RedditClustering":56.16,"RedditClusteringP2P":63.43,"StackExchangeClustering":65.15,"StackExchangeClusteringP2P":32.5,"TwentyNewsgroupsClustering":48.16}
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{"index":140,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":43.8,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.5,"BiorxivClusteringS2S":32.72,"MedrxivClusteringP2P":31.46,"MedrxivClusteringS2S":28.99,"RedditClustering":56.16,"RedditClusteringP2P":63.43,"StackExchangeClustering":65.15,"StackExchangeClusteringP2P":32.5,"TwentyNewsgroupsClustering":48.16}
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{"index":229,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Average":43.72,"ArxivClusteringP2P":42.89,"ArxivClusteringS2S":33.47,"BiorxivClusteringP2P":36.53,"BiorxivClusteringS2S":28.66,"MedrxivClusteringP2P":32.09,"MedrxivClusteringS2S":26.82,"RedditClustering":58.99,"RedditClusteringP2P":64.46,"StackExchangeClustering":70.78,"StackExchangeClusteringP2P":35.25,"TwentyNewsgroupsClustering":50.93}
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{"index":194,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":43.71,"ArxivClusteringP2P":45.45,"ArxivClusteringS2S":36.19,"BiorxivClusteringP2P":38.41,"BiorxivClusteringS2S":32.28,"MedrxivClusteringP2P":34.47,"MedrxivClusteringS2S":31.43,"RedditClustering":55.9,"RedditClusteringP2P":60.58,"StackExchangeClustering":62.94,"StackExchangeClusteringP2P":33.81,"TwentyNewsgroupsClustering":49.36}
|
72 |
{"index":190,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.7,"ArxivClusteringP2P":45.85,"ArxivClusteringS2S":36.13,"BiorxivClusteringP2P":38.46,"BiorxivClusteringS2S":33.14,"MedrxivClusteringP2P":32.73,"MedrxivClusteringS2S":30.55,"RedditClustering":56.82,"RedditClusteringP2P":61.57,"StackExchangeClustering":63.18,"StackExchangeClusteringP2P":33.51,"TwentyNewsgroupsClustering":48.72}
|
|
|
115 |
{"index":226,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":40.21,"ArxivClusteringP2P":39.28,"ArxivClusteringS2S":27.26,"BiorxivClusteringP2P":33.99,"BiorxivClusteringS2S":22.92,"MedrxivClusteringP2P":33.2,"MedrxivClusteringS2S":26.13,"RedditClustering":52.93,"RedditClusteringP2P":59.67,"StackExchangeClustering":63.13,"StackExchangeClusteringP2P":35.68,"TwentyNewsgroupsClustering":48.1}
|
116 |
{"index":163,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":40.08,"ArxivClusteringP2P":44.02,"ArxivClusteringS2S":35.16,"BiorxivClusteringP2P":35.57,"BiorxivClusteringS2S":29.07,"MedrxivClusteringP2P":31.86,"MedrxivClusteringS2S":27.51,"RedditClustering":49.28,"RedditClusteringP2P":57.09,"StackExchangeClustering":55.35,"StackExchangeClusteringP2P":34.42,"TwentyNewsgroupsClustering":41.57}
|
117 |
{"index":178,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mgoin\/all-MiniLM-L6-v2-ds\">all-MiniLM-L6-v2-ds<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":39.94,"ArxivClusteringP2P":46.19,"ArxivClusteringS2S":36.91,"BiorxivClusteringP2P":38.59,"BiorxivClusteringS2S":32.32,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":29.92,"RedditClustering":45.63,"RedditClusteringP2P":53.37,"StackExchangeClustering":47.28,"StackExchangeClusteringP2P":34.25,"TwentyNewsgroupsClustering":42.38}
|
118 |
+
{"index":78,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Average":39.92,"ArxivClusteringP2P":43.38,"ArxivClusteringS2S":33.71,"BiorxivClusteringP2P":35.06,"BiorxivClusteringS2S":30.71,"MedrxivClusteringP2P":32.08,"MedrxivClusteringS2S":29.45,"RedditClustering":48.23,"RedditClusteringP2P":53.18,"StackExchangeClustering":60.86,"StackExchangeClusteringP2P":32.36,"TwentyNewsgroupsClustering":40.06}
|
119 |
+
{"index":145,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":39.92,"ArxivClusteringP2P":42.12,"ArxivClusteringS2S":34.8,"BiorxivClusteringP2P":35.89,"BiorxivClusteringS2S":30.05,"MedrxivClusteringP2P":31.34,"MedrxivClusteringS2S":27.88,"RedditClustering":45.72,"RedditClusteringP2P":59.66,"StackExchangeClustering":58.51,"StackExchangeClusteringP2P":31.98,"TwentyNewsgroupsClustering":41.13}
|
120 |
{"index":81,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Average":39.83,"ArxivClusteringP2P":44.72,"ArxivClusteringS2S":35.08,"BiorxivClusteringP2P":34.41,"BiorxivClusteringS2S":30.53,"MedrxivClusteringP2P":31.35,"MedrxivClusteringS2S":28.77,"RedditClustering":46.47,"RedditClusteringP2P":54.17,"StackExchangeClustering":59.19,"StackExchangeClusteringP2P":32.57,"TwentyNewsgroupsClustering":40.89}
|
121 |
{"index":75,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Average":39.54,"ArxivClusteringP2P":42.86,"ArxivClusteringS2S":32.48,"BiorxivClusteringP2P":36.83,"BiorxivClusteringS2S":29.24,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":30.8,"RedditClustering":48.28,"RedditClusteringP2P":53.56,"StackExchangeClustering":55.07,"StackExchangeClusteringP2P":31.92,"TwentyNewsgroupsClustering":41.37}
|
122 |
{"index":144,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":39.51,"ArxivClusteringP2P":44.14,"ArxivClusteringS2S":37.14,"BiorxivClusteringP2P":35.81,"BiorxivClusteringS2S":31.86,"MedrxivClusteringP2P":31.34,"MedrxivClusteringS2S":28.2,"RedditClustering":42.87,"RedditClusteringP2P":56.39,"StackExchangeClustering":59.08,"StackExchangeClusteringP2P":30.3,"TwentyNewsgroupsClustering":37.51}
|
all_data_tasks/10/default.jsonl
CHANGED
@@ -18,13 +18,13 @@
|
|
18 |
{"index":191,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":85.3,"Cmnli":89.95,"Ocnli":80.64}
|
19 |
{"index":268,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":84.41,"Cmnli":89.5,"Ocnli":79.32}
|
20 |
{"index":103,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":84.34,"Cmnli":89.36,"Ocnli":79.31}
|
21 |
-
{"index":
|
22 |
-
{"index":
|
23 |
{"index":161,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":82.68,"Cmnli":86.85,"Ocnli":78.51}
|
24 |
-
{"index":
|
25 |
-
{"index":
|
26 |
-
{"index":
|
27 |
-
{"index":
|
28 |
{"index":297,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.32,"Cmnli":85.31,"Ocnli":79.33}
|
29 |
{"index":27,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":81.6,"Cmnli":85.27,"Ocnli":77.94}
|
30 |
{"index":48,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":81.46,"Cmnli":85.92,"Ocnli":77.01}
|
|
|
18 |
{"index":191,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":85.3,"Cmnli":89.95,"Ocnli":80.64}
|
19 |
{"index":268,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":84.41,"Cmnli":89.5,"Ocnli":79.32}
|
20 |
{"index":103,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":84.34,"Cmnli":89.36,"Ocnli":79.31}
|
21 |
+
{"index":262,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
|
22 |
+
{"index":184,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
|
23 |
{"index":161,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":82.68,"Cmnli":86.85,"Ocnli":78.51}
|
24 |
+
{"index":20,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
|
25 |
+
{"index":21,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
|
26 |
+
{"index":41,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.38,"Cmnli":87.55,"Ocnli":77.21}
|
27 |
+
{"index":40,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.38,"Cmnli":87.3,"Ocnli":77.46}
|
28 |
{"index":297,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.32,"Cmnli":85.31,"Ocnli":79.33}
|
29 |
{"index":27,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":81.6,"Cmnli":85.27,"Ocnli":77.94}
|
30 |
{"index":48,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":81.46,"Cmnli":85.92,"Ocnli":77.01}
|
all_data_tasks/11/default.jsonl
CHANGED
@@ -24,9 +24,9 @@
|
|
24 |
{"index":268,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":67.4,"CMedQAv1":86.09,"CMedQAv2":86.46,"MMarcoReranking":31.19,"T2Reranking":65.86}
|
25 |
{"index":191,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":67.34,"CMedQAv1":87.12,"CMedQAv2":87.57,"MMarcoReranking":28.08,"T2Reranking":66.6}
|
26 |
{"index":46,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh\">Dmeta-embedding-zh<\/a>","Model Size (Million Parameters)":103,"Memory Usage (GB, fp32)":0.38,"Average":67.17,"CMedQAv1":88.49,"CMedQAv2":89.18,"MMarcoReranking":24.76,"T2Reranking":66.26}
|
27 |
-
{"index":
|
28 |
-
{"index":
|
29 |
-
{"index":
|
30 |
{"index":208,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neofung\/bge-reranker-base-1k\">bge-reranker-base-1k<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":67.02,"CMedQAv1":81.26,"CMedQAv2":84.11,"MMarcoReranking":35.46,"T2Reranking":67.25}
|
31 |
{"index":266,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base-zh\">gte-base-zh<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":67.0,"CMedQAv1":86.79,"CMedQAv2":87.2,"MMarcoReranking":27.64,"T2Reranking":66.36}
|
32 |
{"index":157,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":66.95,"CMedQAv1":85.69,"CMedQAv2":86.46,"MMarcoReranking":29.2,"T2Reranking":66.46}
|
|
|
24 |
{"index":268,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":67.4,"CMedQAv1":86.09,"CMedQAv2":86.46,"MMarcoReranking":31.19,"T2Reranking":65.86}
|
25 |
{"index":191,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":67.34,"CMedQAv1":87.12,"CMedQAv2":87.57,"MMarcoReranking":28.08,"T2Reranking":66.6}
|
26 |
{"index":46,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh\">Dmeta-embedding-zh<\/a>","Model Size (Million Parameters)":103,"Memory Usage (GB, fp32)":0.38,"Average":67.17,"CMedQAv1":88.49,"CMedQAv2":89.18,"MMarcoReranking":24.76,"T2Reranking":66.26}
|
27 |
+
{"index":31,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-reranker-large\">bge-reranker-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":67.03,"CMedQAv1":81.27,"CMedQAv2":84.1,"MMarcoReranking":35.46,"T2Reranking":67.28}
|
28 |
+
{"index":30,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-reranker-base\">bge-reranker-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":67.03,"CMedQAv1":81.27,"CMedQAv2":84.1,"MMarcoReranking":35.46,"T2Reranking":67.28}
|
29 |
+
{"index":136,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/corto-ai\/bge-reranker-large-onnx\">bge-reranker-large-onnx<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":67.03,"CMedQAv1":81.27,"CMedQAv2":84.1,"MMarcoReranking":35.46,"T2Reranking":67.28}
|
30 |
{"index":208,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neofung\/bge-reranker-base-1k\">bge-reranker-base-1k<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":67.02,"CMedQAv1":81.26,"CMedQAv2":84.11,"MMarcoReranking":35.46,"T2Reranking":67.25}
|
31 |
{"index":266,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base-zh\">gte-base-zh<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":67.0,"CMedQAv1":86.79,"CMedQAv2":87.2,"MMarcoReranking":27.64,"T2Reranking":66.36}
|
32 |
{"index":157,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":66.95,"CMedQAv1":85.69,"CMedQAv2":86.46,"MMarcoReranking":29.2,"T2Reranking":66.46}
|
all_data_tasks/12/default.jsonl
CHANGED
@@ -16,8 +16,8 @@
|
|
16 |
{"index":103,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":73.3,"CmedqaRetrieval":43.93,"CovidRetrieval":88.14,"DuRetrieval":86.23,"EcomRetrieval":67.56,"MedicalRetrieval":63.57,"MMarcoRetrieval":78.25,"T2Retrieval":84.58,"VideoRetrieval":74.16}
|
17 |
{"index":297,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":73.12,"CmedqaRetrieval":47.64,"CovidRetrieval":86.86,"DuRetrieval":88.43,"EcomRetrieval":66.39,"MedicalRetrieval":61.1,"MMarcoRetrieval":80.17,"T2Retrieval":80.11,"VideoRetrieval":74.28}
|
18 |
{"index":124,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":72.93,"CmedqaRetrieval":46.78,"CovidRetrieval":81.56,"DuRetrieval":86.55,"EcomRetrieval":67.6,"MedicalRetrieval":64.1,"MMarcoRetrieval":78.42,"T2Retrieval":85.08,"VideoRetrieval":73.32}
|
19 |
-
{"index":
|
20 |
-
{"index":
|
21 |
{"index":268,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":72.49,"CmedqaRetrieval":43.15,"CovidRetrieval":88.41,"DuRetrieval":85.04,"EcomRetrieval":67.25,"MedicalRetrieval":62.88,"MMarcoRetrieval":77.53,"T2Retrieval":81.93,"VideoRetrieval":73.7}
|
22 |
{"index":159,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":72.28,"CmedqaRetrieval":45.38,"CovidRetrieval":80.61,"DuRetrieval":85.55,"EcomRetrieval":67.88,"MedicalRetrieval":64.34,"MMarcoRetrieval":77.42,"T2Retrieval":84.5,"VideoRetrieval":72.56}
|
23 |
{"index":16,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Average":71.86,"CmedqaRetrieval":46.97,"CovidRetrieval":80.79,"DuRetrieval":89.4,"EcomRetrieval":62.51,"MedicalRetrieval":58.65,"MMarcoRetrieval":83.01,"T2Retrieval":85.47,"VideoRetrieval":68.11}
|
@@ -27,8 +27,8 @@
|
|
27 |
{"index":157,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":71.07,"CmedqaRetrieval":41.86,"CovidRetrieval":84.71,"DuRetrieval":87.8,"EcomRetrieval":62.46,"MedicalRetrieval":57.97,"MMarcoRetrieval":78.22,"T2Retrieval":82.51,"VideoRetrieval":73.04}
|
28 |
{"index":160,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":71.02,"CmedqaRetrieval":42.28,"CovidRetrieval":85.19,"DuRetrieval":87.81,"EcomRetrieval":61.66,"MedicalRetrieval":59.38,"MMarcoRetrieval":78.1,"T2Retrieval":82.76,"VideoRetrieval":70.96}
|
29 |
{"index":234,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":70.93,"CmedqaRetrieval":41.98,"CovidRetrieval":85.04,"DuRetrieval":87.97,"EcomRetrieval":61.91,"MedicalRetrieval":59.04,"MMarcoRetrieval":77.83,"T2Retrieval":82.47,"VideoRetrieval":71.18}
|
30 |
-
{"index":
|
31 |
-
{"index":
|
32 |
{"index":15,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Average":70.62,"CmedqaRetrieval":43.47,"CovidRetrieval":80.87,"DuRetrieval":86.01,"EcomRetrieval":66.46,"MedicalRetrieval":61.33,"MMarcoRetrieval":73.83,"T2Retrieval":83.58,"VideoRetrieval":69.41}
|
33 |
{"index":26,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-noinstruct\">bge-large-zh-noinstruct<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":70.54,"CmedqaRetrieval":41.03,"CovidRetrieval":75.07,"DuRetrieval":84.68,"EcomRetrieval":65.6,"MedicalRetrieval":58.28,"MMarcoRetrieval":81.38,"T2Retrieval":84.39,"VideoRetrieval":73.93}
|
34 |
{"index":27,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":70.46,"CmedqaRetrieval":42.57,"CovidRetrieval":73.35,"DuRetrieval":86.32,"EcomRetrieval":65.33,"MedicalRetrieval":59.59,"MMarcoRetrieval":79.23,"T2Retrieval":83.99,"VideoRetrieval":73.32}
|
|
|
16 |
{"index":103,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":73.3,"CmedqaRetrieval":43.93,"CovidRetrieval":88.14,"DuRetrieval":86.23,"EcomRetrieval":67.56,"MedicalRetrieval":63.57,"MMarcoRetrieval":78.25,"T2Retrieval":84.58,"VideoRetrieval":74.16}
|
17 |
{"index":297,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":73.12,"CmedqaRetrieval":47.64,"CovidRetrieval":86.86,"DuRetrieval":88.43,"EcomRetrieval":66.39,"MedicalRetrieval":61.1,"MMarcoRetrieval":80.17,"T2Retrieval":80.11,"VideoRetrieval":74.28}
|
18 |
{"index":124,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":72.93,"CmedqaRetrieval":46.78,"CovidRetrieval":81.56,"DuRetrieval":86.55,"EcomRetrieval":67.6,"MedicalRetrieval":64.1,"MMarcoRetrieval":78.42,"T2Retrieval":85.08,"VideoRetrieval":73.32}
|
19 |
+
{"index":280,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":72.92,"CmedqaRetrieval":43.58,"CovidRetrieval":85.83,"DuRetrieval":86.2,"EcomRetrieval":66.99,"MedicalRetrieval":64.23,"MMarcoRetrieval":77.69,"T2Retrieval":84.94,"VideoRetrieval":73.86}
|
20 |
+
{"index":121,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/akarum\/cloudy-large-zh\">cloudy-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":72.92,"CmedqaRetrieval":43.58,"CovidRetrieval":85.83,"DuRetrieval":86.2,"EcomRetrieval":66.99,"MedicalRetrieval":64.23,"MMarcoRetrieval":77.69,"T2Retrieval":84.94,"VideoRetrieval":73.86}
|
21 |
{"index":268,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":72.49,"CmedqaRetrieval":43.15,"CovidRetrieval":88.41,"DuRetrieval":85.04,"EcomRetrieval":67.25,"MedicalRetrieval":62.88,"MMarcoRetrieval":77.53,"T2Retrieval":81.93,"VideoRetrieval":73.7}
|
22 |
{"index":159,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":72.28,"CmedqaRetrieval":45.38,"CovidRetrieval":80.61,"DuRetrieval":85.55,"EcomRetrieval":67.88,"MedicalRetrieval":64.34,"MMarcoRetrieval":77.42,"T2Retrieval":84.5,"VideoRetrieval":72.56}
|
23 |
{"index":16,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Average":71.86,"CmedqaRetrieval":46.97,"CovidRetrieval":80.79,"DuRetrieval":89.4,"EcomRetrieval":62.51,"MedicalRetrieval":58.65,"MMarcoRetrieval":83.01,"T2Retrieval":85.47,"VideoRetrieval":68.11}
|
|
|
27 |
{"index":157,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":71.07,"CmedqaRetrieval":41.86,"CovidRetrieval":84.71,"DuRetrieval":87.8,"EcomRetrieval":62.46,"MedicalRetrieval":57.97,"MMarcoRetrieval":78.22,"T2Retrieval":82.51,"VideoRetrieval":73.04}
|
28 |
{"index":160,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":71.02,"CmedqaRetrieval":42.28,"CovidRetrieval":85.19,"DuRetrieval":87.81,"EcomRetrieval":61.66,"MedicalRetrieval":59.38,"MMarcoRetrieval":78.1,"T2Retrieval":82.76,"VideoRetrieval":70.96}
|
29 |
{"index":234,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":70.93,"CmedqaRetrieval":41.98,"CovidRetrieval":85.04,"DuRetrieval":87.97,"EcomRetrieval":61.91,"MedicalRetrieval":59.04,"MMarcoRetrieval":77.83,"T2Retrieval":82.47,"VideoRetrieval":71.18}
|
30 |
+
{"index":227,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pengql\/checkpoint-9000\">checkpoint-9000<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":70.63,"CmedqaRetrieval":40.57,"CovidRetrieval":75.93,"DuRetrieval":83.73,"EcomRetrieval":66.14,"MedicalRetrieval":58.58,"MMarcoRetrieval":81.95,"T2Retrieval":84.17,"VideoRetrieval":73.94}
|
31 |
+
{"index":95,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NLPArtisan\/qwen-1.8b-retrieval-test\">qwen-1.8b-retrieval-test<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":70.63,"CmedqaRetrieval":40.57,"CovidRetrieval":75.93,"DuRetrieval":83.73,"EcomRetrieval":66.14,"MedicalRetrieval":58.58,"MMarcoRetrieval":81.95,"T2Retrieval":84.17,"VideoRetrieval":73.94}
|
32 |
{"index":15,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Average":70.62,"CmedqaRetrieval":43.47,"CovidRetrieval":80.87,"DuRetrieval":86.01,"EcomRetrieval":66.46,"MedicalRetrieval":61.33,"MMarcoRetrieval":73.83,"T2Retrieval":83.58,"VideoRetrieval":69.41}
|
33 |
{"index":26,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-noinstruct\">bge-large-zh-noinstruct<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":70.54,"CmedqaRetrieval":41.03,"CovidRetrieval":75.07,"DuRetrieval":84.68,"EcomRetrieval":65.6,"MedicalRetrieval":58.28,"MMarcoRetrieval":81.38,"T2Retrieval":84.39,"VideoRetrieval":73.93}
|
34 |
{"index":27,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":70.46,"CmedqaRetrieval":42.57,"CovidRetrieval":73.35,"DuRetrieval":86.32,"EcomRetrieval":65.33,"MedicalRetrieval":59.59,"MMarcoRetrieval":79.23,"T2Retrieval":83.99,"VideoRetrieval":73.32}
|
all_data_tasks/18/default.jsonl
CHANGED
@@ -46,8 +46,8 @@
|
|
46 |
{"index":40,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-uncased\">bert-base-multilingual-uncased<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":70.32,"OpusparcusPC (fr)":87.43,"PawsXPairClassification (fr)":53.22}
|
47 |
{"index":16,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.1,"OpusparcusPC (fr)":86.79,"PawsXPairClassification (fr)":53.4}
|
48 |
{"index":18,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.09,"OpusparcusPC (fr)":86.79,"PawsXPairClassification (fr)":53.39}
|
49 |
-
{"index":
|
50 |
-
{"index":
|
51 |
{"index":75,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-large\">xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":68.56,"OpusparcusPC (fr)":83.73,"PawsXPairClassification (fr)":53.38}
|
52 |
{"index":74,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Average":68.4,"OpusparcusPC (fr)":85.45,"PawsXPairClassification (fr)":51.35}
|
53 |
{"index":37,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_uncased\">flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":67.39,"OpusparcusPC (fr)":82.0,"PawsXPairClassification (fr)":52.78}
|
|
|
46 |
{"index":40,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-uncased\">bert-base-multilingual-uncased<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":70.32,"OpusparcusPC (fr)":87.43,"PawsXPairClassification (fr)":53.22}
|
47 |
{"index":16,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.1,"OpusparcusPC (fr)":86.79,"PawsXPairClassification (fr)":53.4}
|
48 |
{"index":18,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.09,"OpusparcusPC (fr)":86.79,"PawsXPairClassification (fr)":53.39}
|
49 |
+
{"index":17,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.08,"OpusparcusPC (fr)":86.78,"PawsXPairClassification (fr)":53.38}
|
50 |
+
{"index":39,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Average":70.08,"OpusparcusPC (fr)":86.77,"PawsXPairClassification (fr)":53.39}
|
51 |
{"index":75,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-large\">xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":68.56,"OpusparcusPC (fr)":83.73,"PawsXPairClassification (fr)":53.38}
|
52 |
{"index":74,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Average":68.4,"OpusparcusPC (fr)":85.45,"PawsXPairClassification (fr)":51.35}
|
53 |
{"index":37,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_uncased\">flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":67.39,"OpusparcusPC (fr)":82.0,"PawsXPairClassification (fr)":52.78}
|
all_data_tasks/19/default.jsonl
CHANGED
@@ -46,8 +46,8 @@
|
|
46 |
{"index":36,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_cased\">flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":45.34,"AlloprofReranking":34.81,"SyntecReranking":55.88}
|
47 |
{"index":18,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":44.75,"AlloprofReranking":36.25,"SyntecReranking":53.25}
|
48 |
{"index":39,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Average":44.74,"AlloprofReranking":36.23,"SyntecReranking":53.25}
|
49 |
-
{"index":
|
50 |
-
{"index":
|
51 |
{"index":47,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":39.82,"AlloprofReranking":28.75,"SyntecReranking":50.88}
|
52 |
{"index":75,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-large\">xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":39.01,"AlloprofReranking":28.62,"SyntecReranking":49.4}
|
53 |
{"index":74,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Average":34.66,"AlloprofReranking":25.58,"SyntecReranking":43.75}
|
|
|
46 |
{"index":36,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_cased\">flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":45.34,"AlloprofReranking":34.81,"SyntecReranking":55.88}
|
47 |
{"index":18,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":44.75,"AlloprofReranking":36.25,"SyntecReranking":53.25}
|
48 |
{"index":39,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Average":44.74,"AlloprofReranking":36.23,"SyntecReranking":53.25}
|
49 |
+
{"index":16,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":44.73,"AlloprofReranking":36.21,"SyntecReranking":53.25}
|
50 |
+
{"index":17,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":44.73,"AlloprofReranking":36.21,"SyntecReranking":53.25}
|
51 |
{"index":47,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":39.82,"AlloprofReranking":28.75,"SyntecReranking":50.88}
|
52 |
{"index":75,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-large\">xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":39.01,"AlloprofReranking":28.62,"SyntecReranking":49.4}
|
53 |
{"index":74,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Average":34.66,"AlloprofReranking":25.58,"SyntecReranking":43.75}
|
all_data_tasks/2/default.jsonl
CHANGED
@@ -29,12 +29,12 @@
|
|
29 |
{"index":113,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":86.7,"SprintDuplicateQuestions":96.54,"TwitterSemEval2015":77.6,"TwitterURLCorpus":85.96}
|
30 |
{"index":137,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Average":86.62,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":77.99,"TwitterURLCorpus":86.93}
|
31 |
{"index":8,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":86.57,"SprintDuplicateQuestions":96.01,"TwitterSemEval2015":76.87,"TwitterURLCorpus":86.84}
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32 |
-
{"index":
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33 |
-
{"index":
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34 |
{"index":165,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
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35 |
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{"index":
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36 |
{"index":166,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
37 |
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{"index":
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38 |
{"index":138,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Average":86.45,"SprintDuplicateQuestions":95.69,"TwitterSemEval2015":77.67,"TwitterURLCorpus":86.0}
|
39 |
{"index":111,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.32,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.11}
|
40 |
{"index":183,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":86.24,"SprintDuplicateQuestions":96.38,"TwitterSemEval2015":76.41,"TwitterURLCorpus":85.93}
|
@@ -46,8 +46,8 @@
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46 |
{"index":228,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Average":86.06,"SprintDuplicateQuestions":91.44,"TwitterSemEval2015":80.89,"TwitterURLCorpus":85.86}
|
47 |
{"index":142,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
48 |
{"index":141,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":85.94,"SprintDuplicateQuestions":95.42,"TwitterSemEval2015":76.1,"TwitterURLCorpus":86.31}
|
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-
{"index":
|
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-
{"index":
|
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{"index":23,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":85.84,"SprintDuplicateQuestions":90.94,"TwitterSemEval2015":79.64,"TwitterURLCorpus":86.95}
|
52 |
{"index":34,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":85.84,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":74.8,"TwitterURLCorpus":86.46}
|
53 |
{"index":17,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Average":85.79,"SprintDuplicateQuestions":92.82,"TwitterSemEval2015":77.96,"TwitterURLCorpus":86.59}
|
@@ -60,11 +60,11 @@
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|
60 |
{"index":18,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.33,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":75.53,"TwitterURLCorpus":85.51}
|
61 |
{"index":219,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":85.32,"SprintDuplicateQuestions":95.05,"TwitterSemEval2015":76.03,"TwitterURLCorpus":84.89}
|
62 |
{"index":226,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":85.18,"SprintDuplicateQuestions":91.23,"TwitterSemEval2015":78.25,"TwitterURLCorpus":86.05}
|
63 |
-
{"index":
|
64 |
-
{"index":
|
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-
{"index":
|
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-
{"index":
|
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-
{"index":
|
68 |
{"index":139,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":85.09,"SprintDuplicateQuestions":94.88,"TwitterSemEval2015":74.4,"TwitterURLCorpus":85.98}
|
69 |
{"index":144,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":85.08,"SprintDuplicateQuestions":95.29,"TwitterSemEval2015":74.16,"TwitterURLCorpus":85.79}
|
70 |
{"index":186,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":85.06,"SprintDuplicateQuestions":95.0,"TwitterSemEval2015":74.5,"TwitterURLCorpus":85.69}
|
@@ -74,8 +74,8 @@
|
|
74 |
{"index":267,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":85.04,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":73.33,"TwitterURLCorpus":87.21}
|
75 |
{"index":236,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":85.0,"SprintDuplicateQuestions":95.75,"TwitterSemEval2015":73.73,"TwitterURLCorpus":85.53}
|
76 |
{"index":115,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":84.99,"SprintDuplicateQuestions":96.14,"TwitterSemEval2015":73.48,"TwitterURLCorpus":85.36}
|
77 |
-
{"index":
|
78 |
-
{"index":
|
79 |
{"index":24,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":84.92,"SprintDuplicateQuestions":96.67,"TwitterSemEval2015":73.24,"TwitterURLCorpus":84.84}
|
80 |
{"index":264,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":84.89,"SprintDuplicateQuestions":92.17,"TwitterSemEval2015":75.28,"TwitterURLCorpus":87.22}
|
81 |
{"index":158,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":84.8,"SprintDuplicateQuestions":96.09,"TwitterSemEval2015":72.32,"TwitterURLCorpus":85.98}
|
@@ -101,8 +101,8 @@
|
|
101 |
{"index":160,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
102 |
{"index":252,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":83.58,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":70.34,"TwitterURLCorpus":85.72}
|
103 |
{"index":146,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":83.57,"SprintDuplicateQuestions":93.01,"TwitterSemEval2015":72.21,"TwitterURLCorpus":85.48}
|
104 |
-
{"index":
|
105 |
-
{"index":
|
106 |
{"index":135,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":83.51,"SprintDuplicateQuestions":90.35,"TwitterSemEval2015":73.99,"TwitterURLCorpus":86.2}
|
107 |
{"index":112,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":83.39,"SprintDuplicateQuestions":94.14,"TwitterSemEval2015":70.46,"TwitterURLCorpus":85.58}
|
108 |
{"index":68,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Ivysaur\">Ivysaur<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":83.32,"SprintDuplicateQuestions":95.12,"TwitterSemEval2015":69.78,"TwitterURLCorpus":85.07}
|
@@ -110,8 +110,8 @@
|
|
110 |
{"index":253,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-small-quant\">gte-small-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":83.09,"SprintDuplicateQuestions":95.49,"TwitterSemEval2015":68.61,"TwitterURLCorpus":85.16}
|
111 |
{"index":157,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":83.04,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.3,"TwitterURLCorpus":85.33}
|
112 |
{"index":213,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":83.04,"SprintDuplicateQuestions":90.15,"TwitterSemEval2015":73.85,"TwitterURLCorpus":85.11}
|
113 |
-
{"index":
|
114 |
-
{"index":
|
115 |
{"index":104,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":82.81,"SprintDuplicateQuestions":95.78,"TwitterSemEval2015":67.76,"TwitterURLCorpus":84.89}
|
116 |
{"index":67,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":82.69,"SprintDuplicateQuestions":95.35,"TwitterSemEval2015":67.97,"TwitterURLCorpus":84.75}
|
117 |
{"index":75,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Average":82.59,"SprintDuplicateQuestions":95.54,"TwitterSemEval2015":67.55,"TwitterURLCorpus":84.68}
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29 |
{"index":113,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":86.7,"SprintDuplicateQuestions":96.54,"TwitterSemEval2015":77.6,"TwitterURLCorpus":85.96}
|
30 |
{"index":137,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Average":86.62,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":77.99,"TwitterURLCorpus":86.93}
|
31 |
{"index":8,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":86.57,"SprintDuplicateQuestions":96.01,"TwitterSemEval2015":76.87,"TwitterURLCorpus":86.84}
|
32 |
+
{"index":167,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
33 |
+
{"index":168,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
34 |
{"index":165,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
35 |
+
{"index":20,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
36 |
{"index":166,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
37 |
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{"index":116,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
38 |
{"index":138,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Average":86.45,"SprintDuplicateQuestions":95.69,"TwitterSemEval2015":77.67,"TwitterURLCorpus":86.0}
|
39 |
{"index":111,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.32,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.11}
|
40 |
{"index":183,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":86.24,"SprintDuplicateQuestions":96.38,"TwitterSemEval2015":76.41,"TwitterURLCorpus":85.93}
|
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46 |
{"index":228,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Average":86.06,"SprintDuplicateQuestions":91.44,"TwitterSemEval2015":80.89,"TwitterURLCorpus":85.86}
|
47 |
{"index":142,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
48 |
{"index":141,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":85.94,"SprintDuplicateQuestions":95.42,"TwitterSemEval2015":76.1,"TwitterURLCorpus":86.31}
|
49 |
+
{"index":136,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":85.89,"SprintDuplicateQuestions":93.07,"TwitterSemEval2015":77.42,"TwitterURLCorpus":87.18}
|
50 |
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{"index":179,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":85.89,"SprintDuplicateQuestions":96.05,"TwitterSemEval2015":76.08,"TwitterURLCorpus":85.54}
|
51 |
{"index":23,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":85.84,"SprintDuplicateQuestions":90.94,"TwitterSemEval2015":79.64,"TwitterURLCorpus":86.95}
|
52 |
{"index":34,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":85.84,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":74.8,"TwitterURLCorpus":86.46}
|
53 |
{"index":17,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Average":85.79,"SprintDuplicateQuestions":92.82,"TwitterSemEval2015":77.96,"TwitterURLCorpus":86.59}
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|
60 |
{"index":18,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.33,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":75.53,"TwitterURLCorpus":85.51}
|
61 |
{"index":219,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":85.32,"SprintDuplicateQuestions":95.05,"TwitterSemEval2015":76.03,"TwitterURLCorpus":84.89}
|
62 |
{"index":226,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":85.18,"SprintDuplicateQuestions":91.23,"TwitterSemEval2015":78.25,"TwitterURLCorpus":86.05}
|
63 |
+
{"index":28,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.15,"SprintDuplicateQuestions":93.52,"TwitterSemEval2015":75.23,"TwitterURLCorpus":86.71}
|
64 |
+
{"index":29,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.15,"SprintDuplicateQuestions":93.52,"TwitterSemEval2015":75.23,"TwitterURLCorpus":86.71}
|
65 |
+
{"index":26,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.15,"SprintDuplicateQuestions":93.52,"TwitterSemEval2015":75.23,"TwitterURLCorpus":86.71}
|
66 |
+
{"index":189,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.15,"SprintDuplicateQuestions":93.52,"TwitterSemEval2015":75.23,"TwitterURLCorpus":86.71}
|
67 |
+
{"index":27,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.15,"SprintDuplicateQuestions":93.52,"TwitterSemEval2015":75.23,"TwitterURLCorpus":86.71}
|
68 |
{"index":139,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":85.09,"SprintDuplicateQuestions":94.88,"TwitterSemEval2015":74.4,"TwitterURLCorpus":85.98}
|
69 |
{"index":144,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":85.08,"SprintDuplicateQuestions":95.29,"TwitterSemEval2015":74.16,"TwitterURLCorpus":85.79}
|
70 |
{"index":186,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":85.06,"SprintDuplicateQuestions":95.0,"TwitterSemEval2015":74.5,"TwitterURLCorpus":85.69}
|
|
|
74 |
{"index":267,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":85.04,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":73.33,"TwitterURLCorpus":87.21}
|
75 |
{"index":236,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":85.0,"SprintDuplicateQuestions":95.75,"TwitterSemEval2015":73.73,"TwitterURLCorpus":85.53}
|
76 |
{"index":115,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":84.99,"SprintDuplicateQuestions":96.14,"TwitterSemEval2015":73.48,"TwitterURLCorpus":85.36}
|
77 |
+
{"index":227,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":84.97,"SprintDuplicateQuestions":89.01,"TwitterSemEval2015":79.75,"TwitterURLCorpus":86.14}
|
78 |
+
{"index":43,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Average":84.97,"SprintDuplicateQuestions":91.24,"TwitterSemEval2015":77.21,"TwitterURLCorpus":86.45}
|
79 |
{"index":24,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":84.92,"SprintDuplicateQuestions":96.67,"TwitterSemEval2015":73.24,"TwitterURLCorpus":84.84}
|
80 |
{"index":264,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":84.89,"SprintDuplicateQuestions":92.17,"TwitterSemEval2015":75.28,"TwitterURLCorpus":87.22}
|
81 |
{"index":158,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":84.8,"SprintDuplicateQuestions":96.09,"TwitterSemEval2015":72.32,"TwitterURLCorpus":85.98}
|
|
|
101 |
{"index":160,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
102 |
{"index":252,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":83.58,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":70.34,"TwitterURLCorpus":85.72}
|
103 |
{"index":146,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":83.57,"SprintDuplicateQuestions":93.01,"TwitterSemEval2015":72.21,"TwitterURLCorpus":85.48}
|
104 |
+
{"index":237,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":83.54,"SprintDuplicateQuestions":95.57,"TwitterSemEval2015":70.12,"TwitterURLCorpus":84.92}
|
105 |
+
{"index":192,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":83.54,"SprintDuplicateQuestions":91.45,"TwitterSemEval2015":73.23,"TwitterURLCorpus":85.93}
|
106 |
{"index":135,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":83.51,"SprintDuplicateQuestions":90.35,"TwitterSemEval2015":73.99,"TwitterURLCorpus":86.2}
|
107 |
{"index":112,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":83.39,"SprintDuplicateQuestions":94.14,"TwitterSemEval2015":70.46,"TwitterURLCorpus":85.58}
|
108 |
{"index":68,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Ivysaur\">Ivysaur<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":83.32,"SprintDuplicateQuestions":95.12,"TwitterSemEval2015":69.78,"TwitterURLCorpus":85.07}
|
|
|
110 |
{"index":253,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-small-quant\">gte-small-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":83.09,"SprintDuplicateQuestions":95.49,"TwitterSemEval2015":68.61,"TwitterURLCorpus":85.16}
|
111 |
{"index":157,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":83.04,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.3,"TwitterURLCorpus":85.33}
|
112 |
{"index":213,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":83.04,"SprintDuplicateQuestions":90.15,"TwitterSemEval2015":73.85,"TwitterURLCorpus":85.11}
|
113 |
+
{"index":105,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":82.83,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.17,"TwitterURLCorpus":84.84}
|
114 |
+
{"index":245,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":82.83,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":71.07,"TwitterURLCorpus":84.4}
|
115 |
{"index":104,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":82.81,"SprintDuplicateQuestions":95.78,"TwitterSemEval2015":67.76,"TwitterURLCorpus":84.89}
|
116 |
{"index":67,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":82.69,"SprintDuplicateQuestions":95.35,"TwitterSemEval2015":67.97,"TwitterURLCorpus":84.75}
|
117 |
{"index":75,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Average":82.59,"SprintDuplicateQuestions":95.54,"TwitterSemEval2015":67.55,"TwitterURLCorpus":84.68}
|
all_data_tasks/22/default.jsonl
CHANGED
@@ -8,9 +8,9 @@
|
|
8 |
{"index":0,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.47}
|
9 |
{"index":9,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"SummEvalFr":31.45}
|
10 |
{"index":14,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.4}
|
11 |
-
{"index":
|
12 |
-
{"index":
|
13 |
-
{"index":
|
14 |
{"index":43,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"SummEvalFr":30.92}
|
15 |
{"index":1,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":30.88}
|
16 |
{"index":34,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"SummEvalFr":30.88}
|
@@ -25,8 +25,8 @@
|
|
25 |
{"index":50,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.2\">sentence_croissant_alpha_v0.2<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.27}
|
26 |
{"index":66,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"SummEvalFr":30.23}
|
27 |
{"index":52,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.4\">sentence_croissant_alpha_v0.4<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.22}
|
28 |
-
{"index":
|
29 |
-
{"index":
|
30 |
{"index":48,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/bge-m3-custom-fr\">bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"SummEvalFr":30.13}
|
31 |
{"index":65,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEvalFr":30.01}
|
32 |
{"index":4,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":29.96}
|
|
|
8 |
{"index":0,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.47}
|
9 |
{"index":9,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"SummEvalFr":31.45}
|
10 |
{"index":14,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.4}
|
11 |
+
{"index":10,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"SummEvalFr":31.26}
|
12 |
+
{"index":36,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_cased\">flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":31.26}
|
13 |
+
{"index":15,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.26}
|
14 |
{"index":43,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"SummEvalFr":30.92}
|
15 |
{"index":1,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":30.88}
|
16 |
{"index":34,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"SummEvalFr":30.88}
|
|
|
25 |
{"index":50,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.2\">sentence_croissant_alpha_v0.2<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.27}
|
26 |
{"index":66,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"SummEvalFr":30.23}
|
27 |
{"index":52,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.4\">sentence_croissant_alpha_v0.4<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.22}
|
28 |
+
{"index":53,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"SummEvalFr":30.16}
|
29 |
+
{"index":20,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEvalFr":30.16}
|
30 |
{"index":48,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/bge-m3-custom-fr\">bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"SummEvalFr":30.13}
|
31 |
{"index":65,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEvalFr":30.01}
|
32 |
{"index":4,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":29.96}
|
all_data_tasks/3/default.jsonl
CHANGED
@@ -31,11 +31,11 @@
|
|
31 |
{"index":183,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.94,"AskUbuntuDupQuestions":62.39,"MindSmallReranking":31.89,"SciDocsRR":87.05,"StackOverflowDupQuestions":54.45}
|
32 |
{"index":179,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":58.94,"AskUbuntuDupQuestions":63.77,"MindSmallReranking":31.85,"SciDocsRR":86.98,"StackOverflowDupQuestions":53.16}
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33 |
{"index":1,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">google-gecko.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Average":58.9,"AskUbuntuDupQuestions":64.4,"MindSmallReranking":33.07,"SciDocsRR":83.59,"StackOverflowDupQuestions":54.56}
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34 |
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{"index":
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35 |
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{"index":
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36 |
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{"index":
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37 |
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{"index":
|
38 |
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{"index":
|
39 |
{"index":20,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
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40 |
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|
41 |
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@@ -48,8 +48,8 @@
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|
48 |
{"index":115,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":58.3,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.92,"SciDocsRR":86.18,"StackOverflowDupQuestions":52.96}
|
49 |
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|
50 |
{"index":164,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":58.14,"AskUbuntuDupQuestions":64.13,"MindSmallReranking":32.92,"SciDocsRR":83.68,"StackOverflowDupQuestions":51.84}
|
51 |
-
{"index":
|
52 |
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{"index":
|
53 |
{"index":34,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.01,"AskUbuntuDupQuestions":61.7,"MindSmallReranking":32.67,"SciDocsRR":85.2,"StackOverflowDupQuestions":52.48}
|
54 |
{"index":265,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":57.99,"AskUbuntuDupQuestions":64.61,"MindSmallReranking":29.63,"SciDocsRR":84.25,"StackOverflowDupQuestions":53.46}
|
55 |
{"index":112,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":57.95,"AskUbuntuDupQuestions":62.97,"MindSmallReranking":31.31,"SciDocsRR":87.14,"StackOverflowDupQuestions":50.36}
|
@@ -84,11 +84,11 @@
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|
84 |
{"index":196,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
85 |
{"index":105,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":55.77,"AskUbuntuDupQuestions":59.83,"MindSmallReranking":32.06,"SciDocsRR":81.54,"StackOverflowDupQuestions":49.65}
|
86 |
{"index":139,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":55.7,"AskUbuntuDupQuestions":59.66,"MindSmallReranking":30.07,"SciDocsRR":82.9,"StackOverflowDupQuestions":50.15}
|
87 |
-
{"index":
|
88 |
-
{"index":
|
89 |
-
{"index":
|
90 |
-
{"index":
|
91 |
-
{"index":
|
92 |
{"index":118,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Average":55.65,"AskUbuntuDupQuestions":59.97,"MindSmallReranking":31.79,"SciDocsRR":79.77,"StackOverflowDupQuestions":51.07}
|
93 |
{"index":194,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":55.65,"AskUbuntuDupQuestions":61.6,"MindSmallReranking":30.34,"SciDocsRR":80.33,"StackOverflowDupQuestions":50.32}
|
94 |
{"index":170,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-0B6-embedding\">XLM-0B6-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":55.6,"AskUbuntuDupQuestions":61.11,"MindSmallReranking":28.83,"SciDocsRR":85.93,"StackOverflowDupQuestions":46.52}
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31 |
{"index":183,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.94,"AskUbuntuDupQuestions":62.39,"MindSmallReranking":31.89,"SciDocsRR":87.05,"StackOverflowDupQuestions":54.45}
|
32 |
{"index":179,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":58.94,"AskUbuntuDupQuestions":63.77,"MindSmallReranking":31.85,"SciDocsRR":86.98,"StackOverflowDupQuestions":53.16}
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33 |
{"index":1,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">google-gecko.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Average":58.9,"AskUbuntuDupQuestions":64.4,"MindSmallReranking":33.07,"SciDocsRR":83.59,"StackOverflowDupQuestions":54.56}
|
34 |
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{"index":167,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
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35 |
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{"index":116,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
36 |
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{"index":166,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
37 |
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{"index":165,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
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38 |
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39 |
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|
40 |
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48 |
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49 |
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51 |
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{"index":178,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mgoin\/all-MiniLM-L6-v2-ds\">all-MiniLM-L6-v2-ds<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.04,"AskUbuntuDupQuestions":63.48,"MindSmallReranking":30.8,"SciDocsRR":87.12,"StackOverflowDupQuestions":50.76}
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53 |
{"index":34,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.01,"AskUbuntuDupQuestions":61.7,"MindSmallReranking":32.67,"SciDocsRR":85.2,"StackOverflowDupQuestions":52.48}
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54 |
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|
55 |
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84 |
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|
85 |
{"index":105,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":55.77,"AskUbuntuDupQuestions":59.83,"MindSmallReranking":32.06,"SciDocsRR":81.54,"StackOverflowDupQuestions":49.65}
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86 |
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|
87 |
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|
88 |
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{"index":27,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
|
89 |
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{"index":28,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
|
90 |
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{"index":189,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
|
91 |
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{"index":29,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
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92 |
{"index":118,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Average":55.65,"AskUbuntuDupQuestions":59.97,"MindSmallReranking":31.79,"SciDocsRR":79.77,"StackOverflowDupQuestions":51.07}
|
93 |
{"index":194,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":55.65,"AskUbuntuDupQuestions":61.6,"MindSmallReranking":30.34,"SciDocsRR":80.33,"StackOverflowDupQuestions":50.32}
|
94 |
{"index":170,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-0B6-embedding\">XLM-0B6-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":55.6,"AskUbuntuDupQuestions":61.11,"MindSmallReranking":28.83,"SciDocsRR":85.93,"StackOverflowDupQuestions":46.52}
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all_data_tasks/4/default.jsonl
CHANGED
@@ -41,14 +41,14 @@
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|
41 |
{"index":20,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":53.25,"ArguAna":63.61,"ClimateFEVER":31.17,"CQADupstackRetrieval":42.35,"DBPedia":40.77,"FEVER":86.29,"FiQA2018":40.65,"HotpotQA":72.6,"MSMARCO":41.35,"NFCorpus":37.39,"NQ":54.15,"QuoraRetrieval":88.9,"SCIDOCS":21.73,"SciFact":74.04,"Touche2020":25.7,"TRECCOVID":78.07}
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42 |
{"index":166,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":53.25,"ArguAna":63.61,"ClimateFEVER":31.17,"CQADupstackRetrieval":42.35,"DBPedia":40.77,"FEVER":86.29,"FiQA2018":40.65,"HotpotQA":72.6,"MSMARCO":41.35,"NFCorpus":37.39,"NQ":54.15,"QuoraRetrieval":88.9,"SCIDOCS":21.73,"SciFact":74.04,"Touche2020":25.7,"TRECCOVID":78.07}
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43 |
{"index":167,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":53.25,"ArguAna":63.61,"ClimateFEVER":31.17,"CQADupstackRetrieval":42.35,"DBPedia":40.77,"FEVER":86.29,"FiQA2018":40.65,"HotpotQA":72.6,"MSMARCO":41.35,"NFCorpus":37.39,"NQ":54.15,"QuoraRetrieval":88.9,"SCIDOCS":21.73,"SciFact":74.04,"Touche2020":25.7,"TRECCOVID":78.07}
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44 |
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{"index":
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45 |
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{"index":
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46 |
{"index":196,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":53.01,"ArguAna":48.01,"ClimateFEVER":41.28,"CQADupstackRetrieval":39.61,"DBPedia":43.9,"FEVER":86.34,"FiQA2018":37.46,"HotpotQA":72.62,"MSMARCO":42.53,"NFCorpus":34.67,"NQ":59.72,"QuoraRetrieval":88.0,"SCIDOCS":18.62,"SciFact":70.28,"Touche2020":29.86,"TRECCOVID":82.3}
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47 |
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{"index":
|
48 |
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{"index":
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49 |
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{"index":
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50 |
-
{"index":
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51 |
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{"index":
|
52 |
{"index":148,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":52.47,"ArguAna":58.38,"ClimateFEVER":29.86,"CQADupstackRetrieval":42.71,"DBPedia":38.36,"FEVER":77.99,"FiQA2018":47.71,"HotpotQA":69.32,"MSMARCO":40.43,"NFCorpus":35.53,"NQ":57.75,"QuoraRetrieval":89.15,"SCIDOCS":18.72,"SciFact":71.85,"Touche2020":27.25,"TRECCOVID":82.0}
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53 |
{"index":0,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">google-gecko-256.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Average":52.44,"ArguAna":56.27,"ClimateFEVER":29.35,"CQADupstackRetrieval":45.41,"DBPedia":41.91,"FEVER":82.61,"FiQA2018":55.54,"HotpotQA":64.65,"MSMARCO":31.12,"NFCorpus":37.81,"NQ":57.37,"QuoraRetrieval":87.89,"SCIDOCS":18.21,"SciFact":70.86,"Touche2020":27.4,"TRECCOVID":80.13}
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54 |
{"index":194,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":52.4,"ArguAna":47.45,"ClimateFEVER":40.7,"CQADupstackRetrieval":39.06,"DBPedia":42.96,"FEVER":85.7,"FiQA2018":36.92,"HotpotQA":71.48,"MSMARCO":42.29,"NFCorpus":33.31,"NQ":58.83,"QuoraRetrieval":87.87,"SCIDOCS":17.88,"SciFact":70.12,"Touche2020":29.24,"TRECCOVID":82.12}
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@@ -61,8 +61,8 @@
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|
61 |
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62 |
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63 |
{"index":65,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Average":51.44,"ArguAna":51.66,"ClimateFEVER":33.49,"CQADupstackRetrieval":41.73,"DBPedia":43.58,"FEVER":86.81,"FiQA2018":41.0,"HotpotQA":63.85,"MSMARCO":38.32,"NFCorpus":37.12,"NQ":53.89,"QuoraRetrieval":87.37,"SCIDOCS":17.96,"SciFact":72.08,"Touche2020":22.31,"TRECCOVID":80.41}
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64 |
-
{"index":
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65 |
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{"index":
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66 |
{"index":179,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":51.42,"ArguAna":63.63,"ClimateFEVER":30.73,"CQADupstackRetrieval":39.46,"DBPedia":40.74,"FEVER":82.24,"FiQA2018":41.75,"HotpotQA":63.0,"MSMARCO":38.03,"NFCorpus":37.35,"NQ":54.84,"QuoraRetrieval":88.14,"SCIDOCS":22.78,"SciFact":74.12,"Touche2020":25.89,"TRECCOVID":68.64}
|
67 |
{"index":33,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":51.34,"ArguAna":50.81,"ClimateFEVER":28.9,"CQADupstackRetrieval":38.89,"DBPedia":41.03,"FEVER":87.64,"FiQA2018":38.83,"HotpotQA":66.79,"MSMARCO":41.33,"NFCorpus":33.65,"NQ":57.99,"QuoraRetrieval":88.11,"SCIDOCS":18.1,"SciFact":66.69,"Touche2020":31.93,"TRECCOVID":79.36}
|
68 |
{"index":109,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/amazon\/Titan-text-embeddings-v2\">Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":51.31,"ArguAna":51.31,"ClimateFEVER":22.76,"CQADupstackRetrieval":45.27,"DBPedia":36.95,"FEVER":88.17,"FiQA2018":44.8,"HotpotQA":64.15,"MSMARCO":38.0,"NFCorpus":33.94,"NQ":55.1,"QuoraRetrieval":88.41,"SCIDOCS":21.98,"SciFact":70.52,"Touche2020":27.48,"TRECCOVID":80.75}
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41 |
{"index":20,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":53.25,"ArguAna":63.61,"ClimateFEVER":31.17,"CQADupstackRetrieval":42.35,"DBPedia":40.77,"FEVER":86.29,"FiQA2018":40.65,"HotpotQA":72.6,"MSMARCO":41.35,"NFCorpus":37.39,"NQ":54.15,"QuoraRetrieval":88.9,"SCIDOCS":21.73,"SciFact":74.04,"Touche2020":25.7,"TRECCOVID":78.07}
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42 |
{"index":166,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":53.25,"ArguAna":63.61,"ClimateFEVER":31.17,"CQADupstackRetrieval":42.35,"DBPedia":40.77,"FEVER":86.29,"FiQA2018":40.65,"HotpotQA":72.6,"MSMARCO":41.35,"NFCorpus":37.39,"NQ":54.15,"QuoraRetrieval":88.9,"SCIDOCS":21.73,"SciFact":74.04,"Touche2020":25.7,"TRECCOVID":78.07}
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43 |
{"index":167,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":53.25,"ArguAna":63.61,"ClimateFEVER":31.17,"CQADupstackRetrieval":42.35,"DBPedia":40.77,"FEVER":86.29,"FiQA2018":40.65,"HotpotQA":72.6,"MSMARCO":41.35,"NFCorpus":37.39,"NQ":54.15,"QuoraRetrieval":88.9,"SCIDOCS":21.73,"SciFact":74.04,"Touche2020":25.7,"TRECCOVID":78.07}
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44 |
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{"index":168,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":53.25,"ArguAna":63.61,"ClimateFEVER":31.17,"CQADupstackRetrieval":42.35,"DBPedia":40.77,"FEVER":86.29,"FiQA2018":40.65,"HotpotQA":72.6,"MSMARCO":41.35,"NFCorpus":37.39,"NQ":54.15,"QuoraRetrieval":88.9,"SCIDOCS":21.73,"SciFact":74.04,"Touche2020":25.7,"TRECCOVID":78.07}
|
45 |
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{"index":165,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":53.25,"ArguAna":63.61,"ClimateFEVER":31.17,"CQADupstackRetrieval":42.35,"DBPedia":40.77,"FEVER":86.29,"FiQA2018":40.65,"HotpotQA":72.6,"MSMARCO":41.35,"NFCorpus":37.39,"NQ":54.15,"QuoraRetrieval":88.9,"SCIDOCS":21.73,"SciFact":74.04,"Touche2020":25.7,"TRECCOVID":78.07}
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46 |
{"index":196,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":53.01,"ArguAna":48.01,"ClimateFEVER":41.28,"CQADupstackRetrieval":39.61,"DBPedia":43.9,"FEVER":86.34,"FiQA2018":37.46,"HotpotQA":72.62,"MSMARCO":42.53,"NFCorpus":34.67,"NQ":59.72,"QuoraRetrieval":88.0,"SCIDOCS":18.62,"SciFact":70.28,"Touche2020":29.86,"TRECCOVID":82.3}
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47 |
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{"index":28,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":52.81,"ArguAna":49.26,"ClimateFEVER":40.5,"CQADupstackRetrieval":38.26,"DBPedia":45.03,"FEVER":84.98,"FiQA2018":38.44,"HotpotQA":73.64,"MSMARCO":43.13,"NFCorpus":35.03,"NQ":59.38,"QuoraRetrieval":87.7,"SCIDOCS":18.29,"SciFact":70.5,"Touche2020":28.15,"TRECCOVID":79.92}
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48 |
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{"index":27,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":52.81,"ArguAna":49.26,"ClimateFEVER":40.5,"CQADupstackRetrieval":38.26,"DBPedia":45.03,"FEVER":84.98,"FiQA2018":38.44,"HotpotQA":73.64,"MSMARCO":43.13,"NFCorpus":35.03,"NQ":59.38,"QuoraRetrieval":87.7,"SCIDOCS":18.29,"SciFact":70.5,"Touche2020":28.15,"TRECCOVID":79.92}
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{"index":26,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":52.81,"ArguAna":49.26,"ClimateFEVER":40.5,"CQADupstackRetrieval":38.26,"DBPedia":45.03,"FEVER":84.98,"FiQA2018":38.44,"HotpotQA":73.64,"MSMARCO":43.13,"NFCorpus":35.03,"NQ":59.38,"QuoraRetrieval":87.7,"SCIDOCS":18.29,"SciFact":70.5,"Touche2020":28.15,"TRECCOVID":79.92}
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{"index":29,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":52.81,"ArguAna":49.26,"ClimateFEVER":40.5,"CQADupstackRetrieval":38.26,"DBPedia":45.03,"FEVER":84.98,"FiQA2018":38.44,"HotpotQA":73.64,"MSMARCO":43.13,"NFCorpus":35.03,"NQ":59.38,"QuoraRetrieval":87.7,"SCIDOCS":18.29,"SciFact":70.5,"Touche2020":28.15,"TRECCOVID":79.92}
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52 |
{"index":148,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":52.47,"ArguAna":58.38,"ClimateFEVER":29.86,"CQADupstackRetrieval":42.71,"DBPedia":38.36,"FEVER":77.99,"FiQA2018":47.71,"HotpotQA":69.32,"MSMARCO":40.43,"NFCorpus":35.53,"NQ":57.75,"QuoraRetrieval":89.15,"SCIDOCS":18.72,"SciFact":71.85,"Touche2020":27.25,"TRECCOVID":82.0}
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53 |
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54 |
{"index":194,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":52.4,"ArguAna":47.45,"ClimateFEVER":40.7,"CQADupstackRetrieval":39.06,"DBPedia":42.96,"FEVER":85.7,"FiQA2018":36.92,"HotpotQA":71.48,"MSMARCO":42.29,"NFCorpus":33.31,"NQ":58.83,"QuoraRetrieval":87.87,"SCIDOCS":17.88,"SciFact":70.12,"Touche2020":29.24,"TRECCOVID":82.12}
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61 |
{"index":24,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":51.68,"ArguAna":59.55,"ClimateFEVER":31.84,"CQADupstackRetrieval":39.05,"DBPedia":40.03,"FEVER":86.64,"FiQA2018":40.34,"HotpotQA":69.94,"MSMARCO":40.83,"NFCorpus":34.3,"NQ":50.18,"QuoraRetrieval":88.78,"SCIDOCS":20.52,"SciFact":71.28,"Touche2020":26.04,"TRECCOVID":75.9}
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62 |
{"index":265,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":51.66,"ArguAna":55.6,"ClimateFEVER":25.8,"CQADupstackRetrieval":42.28,"DBPedia":40.8,"FEVER":84.57,"FiQA2018":50.33,"HotpotQA":62.69,"MSMARCO":37.93,"NFCorpus":37.94,"NQ":56.64,"QuoraRetrieval":88.22,"SCIDOCS":20.44,"SciFact":73.1,"Touche2020":22.31,"TRECCOVID":76.24}
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63 |
{"index":65,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Average":51.44,"ArguAna":51.66,"ClimateFEVER":33.49,"CQADupstackRetrieval":41.73,"DBPedia":43.58,"FEVER":86.81,"FiQA2018":41.0,"HotpotQA":63.85,"MSMARCO":38.32,"NFCorpus":37.12,"NQ":53.89,"QuoraRetrieval":87.37,"SCIDOCS":17.96,"SciFact":72.08,"Touche2020":22.31,"TRECCOVID":80.41}
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64 |
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{"index":190,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":51.43,"ArguAna":54.66,"ClimateFEVER":27.01,"CQADupstackRetrieval":38.47,"DBPedia":42.07,"FEVER":77.32,"FiQA2018":39.02,"HotpotQA":64.12,"MSMARCO":43.33,"NFCorpus":35.31,"NQ":61.43,"QuoraRetrieval":88.33,"SCIDOCS":18.7,"SciFact":71.51,"Touche2020":27.86,"TRECCOVID":82.31}
|
65 |
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{"index":147,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":51.43,"ArguAna":54.38,"ClimateFEVER":25.73,"CQADupstackRetrieval":39.68,"DBPedia":41.29,"FEVER":82.81,"FiQA2018":43.8,"HotpotQA":71.23,"MSMARCO":43.7,"NFCorpus":33.99,"NQ":64.06,"QuoraRetrieval":88.18,"SCIDOCS":17.47,"SciFact":70.41,"Touche2020":23.39,"TRECCOVID":71.33}
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66 |
{"index":179,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":51.42,"ArguAna":63.63,"ClimateFEVER":30.73,"CQADupstackRetrieval":39.46,"DBPedia":40.74,"FEVER":82.24,"FiQA2018":41.75,"HotpotQA":63.0,"MSMARCO":38.03,"NFCorpus":37.35,"NQ":54.84,"QuoraRetrieval":88.14,"SCIDOCS":22.78,"SciFact":74.12,"Touche2020":25.89,"TRECCOVID":68.64}
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67 |
{"index":33,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":51.34,"ArguAna":50.81,"ClimateFEVER":28.9,"CQADupstackRetrieval":38.89,"DBPedia":41.03,"FEVER":87.64,"FiQA2018":38.83,"HotpotQA":66.79,"MSMARCO":41.33,"NFCorpus":33.65,"NQ":57.99,"QuoraRetrieval":88.11,"SCIDOCS":18.1,"SciFact":66.69,"Touche2020":31.93,"TRECCOVID":79.36}
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68 |
{"index":109,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/amazon\/Titan-text-embeddings-v2\">Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":51.31,"ArguAna":51.31,"ClimateFEVER":22.76,"CQADupstackRetrieval":45.27,"DBPedia":36.95,"FEVER":88.17,"FiQA2018":44.8,"HotpotQA":64.15,"MSMARCO":38.0,"NFCorpus":33.94,"NQ":55.1,"QuoraRetrieval":88.41,"SCIDOCS":21.98,"SciFact":70.52,"Touche2020":27.48,"TRECCOVID":80.75}
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all_data_tasks/5/default.jsonl
CHANGED
@@ -50,20 +50,20 @@
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|
50 |
{"index":186,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.5,"BIOSSES":85.64,"SICK-R":80.74,"STS12":76.07,"STS13":86.81,"STS14":81.68,"STS15":88.75,"STS16":84.61,"STS17 (en-en)":89.75,"STS22 (en)":64.1,"STSBenchmark":86.88}
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51 |
{"index":15,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Average":82.42,"BIOSSES":81.12,"SICK-R":79.15,"STS12":76.52,"STS13":88.63,"STS14":83.32,"STS15":87.5,"STS16":86.39,"STS17 (en-en)":87.79,"STS22 (en)":66.4,"STSBenchmark":87.35}
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52 |
{"index":166,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
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{"index":
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54 |
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{"index":
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55 |
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{"index":
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56 |
{"index":165,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
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57 |
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{"index":
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{"index":153,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Average":82.37,"BIOSSES":84.82,"SICK-R":80.85,"STS12":76.1,"STS13":85.49,"STS14":80.44,"STS15":87.75,"STS16":85.42,"STS17 (en-en)":89.95,"STS22 (en)":65.13,"STSBenchmark":87.71}
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59 |
{"index":235,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":82.3,"BIOSSES":87.64,"SICK-R":78.86,"STS12":75.71,"STS13":85.73,"STS14":81.51,"STS15":88.81,"STS16":83.82,"STS17 (en-en)":87.9,"STS22 (en)":67.33,"STSBenchmark":85.73}
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60 |
{"index":135,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":82.29,"BIOSSES":82.31,"SICK-R":80.26,"STS12":77.02,"STS13":86.58,"STS14":81.32,"STS15":88.19,"STS16":84.88,"STS17 (en-en)":89.46,"STS22 (en)":66.45,"STSBenchmark":86.43}
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61 |
{"index":237,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":82.07,"BIOSSES":88.17,"SICK-R":77.93,"STS12":75.12,"STS13":85.09,"STS14":81.03,"STS15":88.32,"STS16":83.91,"STS17 (en-en)":87.59,"STS22 (en)":68.0,"STSBenchmark":85.57}
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62 |
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{"index":
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63 |
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{"index":
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64 |
{"index":29,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
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65 |
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{"index":
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66 |
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{"index":
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67 |
{"index":141,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":82.06,"BIOSSES":84.73,"SICK-R":80.49,"STS12":75.93,"STS13":85.22,"STS14":80.54,"STS15":88.81,"STS16":85.28,"STS17 (en-en)":89.37,"STS22 (en)":62.99,"STSBenchmark":87.21}
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68 |
{"index":142,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":82.05,"BIOSSES":83.6,"SICK-R":79.28,"STS12":76.95,"STS13":84.12,"STS14":80.46,"STS15":89.76,"STS16":85.47,"STS17 (en-en)":89.03,"STS22 (en)":64.11,"STSBenchmark":87.74}
|
69 |
{"index":187,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.04,"BIOSSES":86.66,"SICK-R":79.44,"STS12":76.17,"STS13":84.15,"STS14":81.49,"STS15":88.11,"STS16":84.99,"STS17 (en-en)":87.98,"STS22 (en)":65.07,"STSBenchmark":86.31}
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@@ -89,8 +89,8 @@
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|
89 |
{"index":128,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Average":81.05,"BIOSSES":81.4,"SICK-R":78.3,"STS12":75.79,"STS13":83.58,"STS14":79.95,"STS15":88.82,"STS16":84.46,"STS17 (en-en)":87.58,"STS22 (en)":64.07,"STSBenchmark":86.52}
|
90 |
{"index":265,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":81.04,"BIOSSES":84.87,"SICK-R":79.18,"STS12":71.98,"STS13":85.52,"STS14":80.5,"STS15":87.51,"STS16":84.48,"STS17 (en-en)":88.11,"STS22 (en)":65.92,"STSBenchmark":82.34}
|
91 |
{"index":264,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":80.97,"BIOSSES":86.35,"SICK-R":80.6,"STS12":69.8,"STS13":83.27,"STS14":76.09,"STS15":86.12,"STS16":85.96,"STS17 (en-en)":90.25,"STS22 (en)":68.12,"STSBenchmark":83.17}
|
92 |
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{"index":
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93 |
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{"index":
|
94 |
{"index":33,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":80.92,"BIOSSES":81.72,"SICK-R":79.65,"STS12":72.6,"STS13":82.88,"STS14":79.74,"STS15":86.98,"STS16":84.41,"STS17 (en-en)":89.22,"STS22 (en)":65.42,"STSBenchmark":86.58}
|
95 |
{"index":144,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":80.87,"BIOSSES":84.22,"SICK-R":78.9,"STS12":75.19,"STS13":81.8,"STS14":78.48,"STS15":87.49,"STS16":84.58,"STS17 (en-en)":87.94,"STS22 (en)":63.76,"STSBenchmark":86.36}
|
96 |
{"index":191,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":80.84,"BIOSSES":87.19,"SICK-R":74.19,"STS12":73.22,"STS13":84.77,"STS14":79.99,"STS15":87.27,"STS16":82.31,"STS17 (en-en)":89.54,"STS22 (en)":65.93,"STSBenchmark":83.96}
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@@ -109,8 +109,8 @@
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|
109 |
{"index":124,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":80.17,"BIOSSES":75.32,"SICK-R":80.91,"STS12":76.98,"STS13":82.63,"STS14":77.84,"STS15":85.92,"STS16":80.68,"STS17 (en-en)":88.99,"STS22 (en)":68.26,"STSBenchmark":84.2}
|
110 |
{"index":35,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":80.09,"BIOSSES":84.01,"SICK-R":77.04,"STS12":73.22,"STS13":79.5,"STS14":76.96,"STS15":86.43,"STS16":84.33,"STS17 (en-en)":88.67,"STS22 (en)":65.31,"STSBenchmark":85.46}
|
111 |
{"index":163,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":80.0,"BIOSSES":80.52,"SICK-R":76.72,"STS12":73.66,"STS13":83.3,"STS14":79.17,"STS15":87.3,"STS16":83.6,"STS17 (en-en)":88.23,"STS22 (en)":63.46,"STSBenchmark":84.04}
|
112 |
-
{"index":
|
113 |
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{"index":
|
114 |
{"index":68,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Ivysaur\">Ivysaur<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":79.89,"BIOSSES":87.32,"SICK-R":75.63,"STS12":68.58,"STS13":80.54,"STS14":77.63,"STS15":86.16,"STS16":82.82,"STS17 (en-en)":88.57,"STS22 (en)":67.39,"STSBenchmark":84.25}
|
115 |
{"index":211,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":79.84,"BIOSSES":83.57,"SICK-R":79.32,"STS12":73.08,"STS13":82.13,"STS14":76.73,"STS15":85.58,"STS16":80.23,"STS17 (en-en)":88.63,"STS22 (en)":66.0,"STSBenchmark":83.09}
|
116 |
{"index":195,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-64<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":79.79,"BIOSSES":77.18,"SICK-R":78.76,"STS12":77.3,"STS13":84.18,"STS14":79.37,"STS15":84.69,"STS16":83.36,"STS17 (en-en)":85.73,"STS22 (en)":63.83,"STSBenchmark":83.46}
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|
50 |
{"index":186,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.5,"BIOSSES":85.64,"SICK-R":80.74,"STS12":76.07,"STS13":86.81,"STS14":81.68,"STS15":88.75,"STS16":84.61,"STS17 (en-en)":89.75,"STS22 (en)":64.1,"STSBenchmark":86.88}
|
51 |
{"index":15,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Average":82.42,"BIOSSES":81.12,"SICK-R":79.15,"STS12":76.52,"STS13":88.63,"STS14":83.32,"STS15":87.5,"STS16":86.39,"STS17 (en-en)":87.79,"STS22 (en)":66.4,"STSBenchmark":87.35}
|
52 |
{"index":166,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
53 |
+
{"index":20,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
54 |
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{"index":167,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
55 |
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{"index":168,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
56 |
{"index":165,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
57 |
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{"index":116,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
58 |
{"index":153,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Average":82.37,"BIOSSES":84.82,"SICK-R":80.85,"STS12":76.1,"STS13":85.49,"STS14":80.44,"STS15":87.75,"STS16":85.42,"STS17 (en-en)":89.95,"STS22 (en)":65.13,"STSBenchmark":87.71}
|
59 |
{"index":235,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":82.3,"BIOSSES":87.64,"SICK-R":78.86,"STS12":75.71,"STS13":85.73,"STS14":81.51,"STS15":88.81,"STS16":83.82,"STS17 (en-en)":87.9,"STS22 (en)":67.33,"STSBenchmark":85.73}
|
60 |
{"index":135,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":82.29,"BIOSSES":82.31,"SICK-R":80.26,"STS12":77.02,"STS13":86.58,"STS14":81.32,"STS15":88.19,"STS16":84.88,"STS17 (en-en)":89.46,"STS22 (en)":66.45,"STSBenchmark":86.43}
|
61 |
{"index":237,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":82.07,"BIOSSES":88.17,"SICK-R":77.93,"STS12":75.12,"STS13":85.09,"STS14":81.03,"STS15":88.32,"STS16":83.91,"STS17 (en-en)":87.59,"STS22 (en)":68.0,"STSBenchmark":85.57}
|
62 |
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{"index":28,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
|
63 |
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{"index":27,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
|
64 |
{"index":29,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
|
65 |
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{"index":189,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
|
66 |
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{"index":26,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
|
67 |
{"index":141,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":82.06,"BIOSSES":84.73,"SICK-R":80.49,"STS12":75.93,"STS13":85.22,"STS14":80.54,"STS15":88.81,"STS16":85.28,"STS17 (en-en)":89.37,"STS22 (en)":62.99,"STSBenchmark":87.21}
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68 |
{"index":142,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":82.05,"BIOSSES":83.6,"SICK-R":79.28,"STS12":76.95,"STS13":84.12,"STS14":80.46,"STS15":89.76,"STS16":85.47,"STS17 (en-en)":89.03,"STS22 (en)":64.11,"STSBenchmark":87.74}
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69 |
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{"index":158,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":80.96,"BIOSSES":84.43,"SICK-R":79.2,"STS12":74.52,"STS13":83.16,"STS14":78.09,"STS15":86.91,"STS16":83.65,"STS17 (en-en)":90.16,"STS22 (en)":64.88,"STSBenchmark":84.6}
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94 |
{"index":33,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":80.92,"BIOSSES":81.72,"SICK-R":79.65,"STS12":72.6,"STS13":82.88,"STS14":79.74,"STS15":86.98,"STS16":84.41,"STS17 (en-en)":89.22,"STS22 (en)":65.42,"STSBenchmark":86.58}
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95 |
{"index":144,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":80.87,"BIOSSES":84.22,"SICK-R":78.9,"STS12":75.19,"STS13":81.8,"STS14":78.48,"STS15":87.49,"STS16":84.58,"STS17 (en-en)":87.94,"STS22 (en)":63.76,"STSBenchmark":86.36}
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96 |
{"index":191,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":80.84,"BIOSSES":87.19,"SICK-R":74.19,"STS12":73.22,"STS13":84.77,"STS14":79.99,"STS15":87.27,"STS16":82.31,"STS17 (en-en)":89.54,"STS22 (en)":65.93,"STSBenchmark":83.96}
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109 |
{"index":124,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":80.17,"BIOSSES":75.32,"SICK-R":80.91,"STS12":76.98,"STS13":82.63,"STS14":77.84,"STS15":85.92,"STS16":80.68,"STS17 (en-en)":88.99,"STS22 (en)":68.26,"STSBenchmark":84.2}
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110 |
{"index":35,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":80.09,"BIOSSES":84.01,"SICK-R":77.04,"STS12":73.22,"STS13":79.5,"STS14":76.96,"STS15":86.43,"STS16":84.33,"STS17 (en-en)":88.67,"STS22 (en)":65.31,"STSBenchmark":85.46}
|
111 |
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|
112 |
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{"index":154,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":79.93,"BIOSSES":84.44,"SICK-R":78.53,"STS12":74.07,"STS13":81.81,"STS14":77.05,"STS15":84.61,"STS16":83.09,"STS17 (en-en)":89.15,"STS22 (en)":62.92,"STSBenchmark":83.63}
|
113 |
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{"index":157,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":79.93,"BIOSSES":83.58,"SICK-R":79.14,"STS12":75.06,"STS13":80.86,"STS14":76.13,"STS15":85.55,"STS16":81.21,"STS17 (en-en)":88.98,"STS22 (en)":66.22,"STSBenchmark":82.57}
|
114 |
{"index":68,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Ivysaur\">Ivysaur<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":79.89,"BIOSSES":87.32,"SICK-R":75.63,"STS12":68.58,"STS13":80.54,"STS14":77.63,"STS15":86.16,"STS16":82.82,"STS17 (en-en)":88.57,"STS22 (en)":67.39,"STSBenchmark":84.25}
|
115 |
{"index":211,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":79.84,"BIOSSES":83.57,"SICK-R":79.32,"STS12":73.08,"STS13":82.13,"STS14":76.73,"STS15":85.58,"STS16":80.23,"STS17 (en-en)":88.63,"STS22 (en)":66.0,"STSBenchmark":83.09}
|
116 |
{"index":195,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-64<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":79.79,"BIOSSES":77.18,"SICK-R":78.76,"STS12":77.3,"STS13":84.18,"STS14":79.37,"STS15":84.69,"STS16":83.36,"STS17 (en-en)":85.73,"STS22 (en)":63.83,"STSBenchmark":83.46}
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all_data_tasks/6/default.jsonl
CHANGED
@@ -17,63 +17,63 @@
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|
17 |
{"index":156,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":31.61}
|
18 |
{"index":161,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":31.6}
|
19 |
{"index":225,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEval":31.57}
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{"index":
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21 |
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{"index":126,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_1.5B_v5\">stella_en_1.5B_v5<\/a>","Model Size (Million Parameters)":1543,"Memory Usage (GB, fp32)":5.75,"SummEval":31.49}
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{"index":
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{"index":
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25 |
{"index":62,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse\">LLM2Vec-Meta-Llama-3-unsupervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"SummEval":31.45}
|
26 |
{"index":143,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":31.4}
|
27 |
-
{"index":
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28 |
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{"index":
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29 |
-
{"index":
|
30 |
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{"index":
|
31 |
{"index":17,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"SummEval":31.35}
|
32 |
{"index":33,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":31.29}
|
33 |
{"index":190,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":31.28}
|
34 |
{"index":68,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Ivysaur\">Ivysaur<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"SummEval":31.27}
|
35 |
{"index":159,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-s-en-v1\">jina-embedding-s-en-v1<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"SummEval":31.25}
|
36 |
-
{"index":
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37 |
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{"index":
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38 |
{"index":112,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"SummEval":31.22}
|
39 |
-
{"index":
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40 |
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{"index":
|
41 |
-
{"index":
|
42 |
-
{"index":
|
43 |
-
{"index":
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44 |
-
{"index":
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45 |
-
{"index":
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46 |
-
{"index":
|
47 |
{"index":103,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":31.16}
|
48 |
{"index":201,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/unsup-simcse-bert-base-uncased\">unsup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":31.15}
|
49 |
{"index":114,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"SummEval":31.14}
|
50 |
{"index":267,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":31.12}
|
51 |
{"index":152,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":31.1}
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{"index":
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53 |
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{"index":
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{"index":
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55 |
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56 |
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57 |
{"index":20,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"SummEval":31.07}
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58 |
-
{"index":
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59 |
-
{"index":
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60 |
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{"index":
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61 |
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{"index":
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62 |
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{"index":
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63 |
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{"index":
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64 |
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{"index":
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65 |
{"index":36,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.99}
|
66 |
{"index":57,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":30.98}
|
67 |
{"index":8,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.97}
|
68 |
{"index":141,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.97}
|
69 |
-
{"index":
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70 |
-
{"index":
|
71 |
{"index":113,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.96}
|
72 |
{"index":61,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"SummEval":30.94}
|
73 |
{"index":19,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"SummEval":30.91}
|
74 |
{"index":111,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":30.87}
|
75 |
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{"index":
|
76 |
-
{"index":
|
77 |
{"index":202,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.83}
|
78 |
{"index":172,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.82}
|
79 |
{"index":212,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"SummEval":30.81}
|
@@ -82,13 +82,13 @@
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|
82 |
{"index":21,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-en-icl\">bge-en-icl<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":30.77}
|
83 |
{"index":164,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":30.73}
|
84 |
{"index":191,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.72}
|
85 |
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{"index":
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86 |
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{"index":
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87 |
-
{"index":
|
88 |
{"index":224,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"SummEval":30.67}
|
89 |
{"index":221,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"SummEval":30.64}
|
90 |
-
{"index":
|
91 |
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{"index":
|
92 |
{"index":115,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"SummEval":30.6}
|
93 |
{"index":245,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.57}
|
94 |
{"index":129,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.56}
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@@ -111,18 +111,18 @@
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111 |
{"index":80,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-nli-bitfit\">SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEval":30.26}
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112 |
{"index":170,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-0B6-embedding\">XLM-0B6-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.25}
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113 |
{"index":220,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"SummEval":30.21}
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{"index":
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{"index":34,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.18}
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117 |
{"index":24,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"SummEval":30.12}
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118 |
{"index":146,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEval":30.11}
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119 |
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{"index":
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120 |
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{"index":
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{"index":
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{"index":
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{"index":28,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
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124 |
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{"index":
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125 |
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{"index":
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{"index":27,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
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127 |
{"index":193,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEval":30.05}
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128 |
{"index":65,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEval":30.01}
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@@ -134,8 +134,8 @@
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134 |
{"index":70,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Venusaur\">Venusaur<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"SummEval":29.91}
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135 |
{"index":104,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":29.87}
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136 |
{"index":162,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"SummEval":29.87}
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137 |
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{"index":
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138 |
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{"index":
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139 |
{"index":110,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"SummEval":29.83}
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140 |
{"index":117,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bert-base-uncased\">bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":29.82}
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141 |
{"index":43,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"SummEval":29.82}
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@@ -147,13 +147,13 @@
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147 |
{"index":227,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"SummEval":29.64}
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148 |
{"index":192,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEval":29.59}
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149 |
{"index":239,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/twadada\/tst\">tst<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.51}
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150 |
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{"index":
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151 |
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{"index":
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152 |
{"index":105,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"SummEval":29.47}
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153 |
{"index":240,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-4\">universal-sentence-encoder-4<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.42}
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154 |
{"index":77,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test25\">test25<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":29.33}
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155 |
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{"index":
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156 |
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157 |
{"index":241,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-large-5\">universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.01}
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158 |
{"index":215,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_glove.6B.300d\">glove.6B.300d<\/a>","Model Size (Million Parameters)":120,"Memory Usage (GB, fp32)":0.45,"SummEval":28.87}
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159 |
{"index":59,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"SummEval":28.49}
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{"index":156,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":31.61}
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{"index":161,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":31.6}
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{"index":160,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"SummEval":31.55}
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{"index":179,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":31.55}
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{"index":15,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"SummEval":31.46}
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{"index":82,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-msmarco-specb-bitfit\">SGPT-5.8B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"SummEval":31.46}
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25 |
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{"index":144,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"SummEval":31.39}
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{"index":226,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":31.39}
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{"index":60,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse\">LLM2Vec-Llama-2-unsupervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"SummEval":31.38}
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{"index":99,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":31.38}
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{"index":190,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":31.28}
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{"index":66,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse\">LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEval":31.23}
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{"index":44,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Hum-Works\/lodestone-base-4096-v1\">lodestone-base-4096-v1<\/a>","Model Size (Million Parameters)":69,"Memory Usage (GB, fp32)":0.26,"SummEval":31.23}
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{"index":23,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"SummEval":31.2}
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{"index":16,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"SummEval":31.17}
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{"index":200,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/sup-simcse-bert-base-uncased\">sup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":31.17}
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{"index":235,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":31.17}
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{"index":18,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":31.17}
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{"index":94,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":31.16}
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{"index":103,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":31.16}
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{"index":201,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/unsup-simcse-bert-base-uncased\">unsup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":31.15}
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{"index":114,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"SummEval":31.14}
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{"index":152,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":31.1}
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{"index":168,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":31.07}
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{"index":166,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":31.07}
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{"index":167,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":31.07}
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{"index":116,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":31.07}
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{"index":165,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":31.07}
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{"index":20,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"SummEval":31.07}
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{"index":125,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"SummEval":31.05}
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{"index":210,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"SummEval":31.05}
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{"index":268,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":31.03}
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61 |
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{"index":81,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"SummEval":31.03}
|
62 |
+
{"index":169,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":31.01}
|
63 |
+
{"index":9,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"SummEval":31.01}
|
64 |
+
{"index":139,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":31.01}
|
65 |
{"index":36,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.99}
|
66 |
{"index":57,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":30.98}
|
67 |
{"index":8,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.97}
|
68 |
{"index":141,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.97}
|
69 |
+
{"index":155,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"SummEval":30.97}
|
70 |
+
{"index":67,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":30.97}
|
71 |
{"index":113,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.96}
|
72 |
{"index":61,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"SummEval":30.94}
|
73 |
{"index":19,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"SummEval":30.91}
|
74 |
{"index":111,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":30.87}
|
75 |
+
{"index":6,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.84}
|
76 |
+
{"index":97,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"SummEval":30.84}
|
77 |
{"index":202,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.83}
|
78 |
{"index":172,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.82}
|
79 |
{"index":212,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"SummEval":30.81}
|
|
|
82 |
{"index":21,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-en-icl\">bge-en-icl<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":30.77}
|
83 |
{"index":164,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":30.73}
|
84 |
{"index":191,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.72}
|
85 |
+
{"index":157,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":30.71}
|
86 |
+
{"index":71,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Wartortle\">Wartortle<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":30.71}
|
87 |
+
{"index":93,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":30.71}
|
88 |
{"index":224,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"SummEval":30.67}
|
89 |
{"index":221,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"SummEval":30.64}
|
90 |
+
{"index":153,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"SummEval":30.62}
|
91 |
+
{"index":95,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Shimin\/LLaMA-embeeding\">LLaMA-embeeding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.62}
|
92 |
{"index":115,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"SummEval":30.6}
|
93 |
{"index":245,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.57}
|
94 |
{"index":129,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.56}
|
|
|
111 |
{"index":80,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-nli-bitfit\">SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEval":30.26}
|
112 |
{"index":170,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-0B6-embedding\">XLM-0B6-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.25}
|
113 |
{"index":220,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"SummEval":30.21}
|
114 |
+
{"index":142,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.19}
|
115 |
+
{"index":64,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":30.19}
|
116 |
{"index":34,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.18}
|
117 |
{"index":24,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"SummEval":30.12}
|
118 |
{"index":146,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEval":30.11}
|
119 |
+
{"index":231,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-multilingual\">text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"SummEval":30.1}
|
120 |
+
{"index":102,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"SummEval":30.1}
|
121 |
+
{"index":229,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"SummEval":30.08}
|
122 |
+
{"index":189,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
|
123 |
{"index":28,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
|
124 |
+
{"index":26,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
|
125 |
+
{"index":29,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
|
126 |
{"index":27,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
|
127 |
{"index":193,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEval":30.05}
|
128 |
{"index":65,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEval":30.01}
|
|
|
134 |
{"index":70,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Venusaur\">Venusaur<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"SummEval":29.91}
|
135 |
{"index":104,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":29.87}
|
136 |
{"index":162,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"SummEval":29.87}
|
137 |
+
{"index":158,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":29.85}
|
138 |
+
{"index":135,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":29.85}
|
139 |
{"index":110,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"SummEval":29.83}
|
140 |
{"index":117,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bert-base-uncased\">bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":29.82}
|
141 |
{"index":43,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"SummEval":29.82}
|
|
|
147 |
{"index":227,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"SummEval":29.64}
|
148 |
{"index":192,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEval":29.59}
|
149 |
{"index":239,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/twadada\/tst\">tst<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.51}
|
150 |
+
{"index":222,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/msmarco-bert-co-condensor\">msmarco-bert-co-condensor<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":29.5}
|
151 |
+
{"index":219,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"SummEval":29.5}
|
152 |
{"index":105,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"SummEval":29.47}
|
153 |
{"index":240,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-4\">universal-sentence-encoder-4<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.42}
|
154 |
{"index":77,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test25\">test25<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":29.33}
|
155 |
+
{"index":120,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-lunaris-text-embeddings\">cai-lunaris-text-embeddings<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":29.02}
|
156 |
+
{"index":171,"Rank":156,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.02}
|
157 |
{"index":241,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-large-5\">universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.01}
|
158 |
{"index":215,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_glove.6B.300d\">glove.6B.300d<\/a>","Model Size (Million Parameters)":120,"Memory Usage (GB, fp32)":0.45,"SummEval":28.87}
|
159 |
{"index":59,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"SummEval":28.49}
|
all_data_tasks/9/default.jsonl
CHANGED
@@ -50,8 +50,8 @@
|
|
50 |
{"index":261,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Average":44.39,"CLSClusteringP2P":37.01,"CLSClusteringS2S":33.46,"ThuNewsClusteringP2P":58.83,"ThuNewsClusteringS2S":48.26}
|
51 |
{"index":33,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Average":44.18,"CLSClusteringP2P":38.14,"CLSClusteringS2S":35.14,"ThuNewsClusteringP2P":54.22,"ThuNewsClusteringS2S":49.22}
|
52 |
{"index":174,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Average":43.24,"CLSClusteringP2P":36.73,"CLSClusteringS2S":36.45,"ThuNewsClusteringP2P":50.24,"ThuNewsClusteringS2S":49.54}
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{"index":
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{"index":
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56 |
{"index":169,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":40.68,"CLSClusteringP2P":32.41,"CLSClusteringS2S":36.99,"ThuNewsClusteringP2P":40.98,"ThuNewsClusteringS2S":52.36}
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57 |
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|
50 |
{"index":261,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Average":44.39,"CLSClusteringP2P":37.01,"CLSClusteringS2S":33.46,"ThuNewsClusteringP2P":58.83,"ThuNewsClusteringS2S":48.26}
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51 |
{"index":33,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Average":44.18,"CLSClusteringP2P":38.14,"CLSClusteringS2S":35.14,"ThuNewsClusteringP2P":54.22,"ThuNewsClusteringS2S":49.22}
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52 |
{"index":174,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Average":43.24,"CLSClusteringP2P":36.73,"CLSClusteringS2S":36.45,"ThuNewsClusteringP2P":50.24,"ThuNewsClusteringS2S":49.54}
|
53 |
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{"index":175,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":42.42,"CLSClusteringP2P":35.21,"CLSClusteringS2S":35.12,"ThuNewsClusteringP2P":51.03,"ThuNewsClusteringS2S":48.32}
|
54 |
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{"index":173,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":42.42,"CLSClusteringP2P":35.36,"CLSClusteringS2S":37.07,"ThuNewsClusteringP2P":48.91,"ThuNewsClusteringS2S":48.34}
|
55 |
{"index":176,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Average":42.32,"CLSClusteringP2P":36.0,"CLSClusteringS2S":36.35,"ThuNewsClusteringP2P":49.19,"ThuNewsClusteringS2S":47.76}
|
56 |
{"index":169,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":40.68,"CLSClusteringP2P":32.41,"CLSClusteringS2S":36.99,"ThuNewsClusteringP2P":40.98,"ThuNewsClusteringS2S":52.36}
|
57 |
{"index":49,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":39.67,"CLSClusteringP2P":39.24,"CLSClusteringS2S":35.36,"ThuNewsClusteringP2P":47.3,"ThuNewsClusteringS2S":36.77}
|
boards_data/en/data_overall/default.jsonl
CHANGED
@@ -36,10 +36,10 @@
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|
36 |
{"index":36,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":64.01,"Classification Average (12 datasets)":76.01,"Clustering Average (11 datasets)":46.6,"PairClassification Average (3 datasets)":86.15,"Reranking Average (4 datasets)":57.86,"Retrieval Average (15 datasets)":53.84,"STS Average (10 datasets)":83.15,"Summarization Average (1 datasets)":30.99}
|
37 |
{"index":111,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.71,"Classification Average (12 datasets)":76.03,"Clustering Average (11 datasets)":46.21,"PairClassification Average (3 datasets)":86.32,"Reranking Average (4 datasets)":59.37,"Retrieval Average (15 datasets)":52.31,"STS Average (10 datasets)":83.51,"Summarization Average (1 datasets)":30.87}
|
38 |
{"index":20,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.56,"Classification Average (12 datasets)":75.53,"Clustering Average (11 datasets)":45.81,"PairClassification Average (3 datasets)":86.55,"Reranking Average (4 datasets)":58.86,"Retrieval Average (15 datasets)":53.25,"STS Average (10 datasets)":82.4,"Summarization Average (1 datasets)":31.07}
|
39 |
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{"index":
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40 |
{"index":166,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.55,"Classification Average (12 datasets)":75.53,"Clustering Average (11 datasets)":45.77,"PairClassification Average (3 datasets)":86.55,"Reranking Average (4 datasets)":58.86,"Retrieval Average (15 datasets)":53.25,"STS Average (10 datasets)":82.4,"Summarization Average (1 datasets)":31.07}
|
41 |
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{"index":
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42 |
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{"index":
|
43 |
{"index":172,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":63.54,"Classification Average (12 datasets)":75.99,"Clustering Average (11 datasets)":45.58,"PairClassification Average (3 datasets)":87.37,"Reranking Average (4 datasets)":60.04,"Retrieval Average (15 datasets)":51.92,"STS Average (10 datasets)":83.34,"Summarization Average (1 datasets)":30.82}
|
44 |
{"index":156,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":63.34,"Classification Average (12 datasets)":73.96,"Clustering Average (11 datasets)":46.61,"PairClassification Average (3 datasets)":86.85,"Reranking Average (4 datasets)":59.86,"Retrieval Average (15 datasets)":51.8,"STS Average (10 datasets)":83.85,"Summarization Average (1 datasets)":31.61}
|
45 |
{"index":179,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":63.25,"Classification Average (12 datasets)":74.14,"Clustering Average (11 datasets)":46.07,"PairClassification Average (3 datasets)":85.89,"Reranking Average (4 datasets)":58.94,"Retrieval Average (15 datasets)":51.42,"STS Average (10 datasets)":84.9,"Summarization Average (1 datasets)":31.55}
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@@ -48,11 +48,11 @@
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|
48 |
{"index":114,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average (56 datasets)":62.72,"Classification Average (12 datasets)":76.11,"Clustering Average (11 datasets)":44.82,"PairClassification Average (3 datasets)":84.68,"Reranking Average (4 datasets)":58.56,"Retrieval Average (15 datasets)":50.43,"STS Average (10 datasets)":83.03,"Summarization Average (1 datasets)":31.14}
|
49 |
{"index":138,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":62.61,"Classification Average (12 datasets)":75.28,"Clustering Average (11 datasets)":44.9,"PairClassification Average (3 datasets)":86.45,"Reranking Average (4 datasets)":58.78,"Retrieval Average (15 datasets)":50.1,"STS Average (10 datasets)":83.02,"Summarization Average (1 datasets)":32.52}
|
50 |
{"index":235,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":62.39,"Classification Average (12 datasets)":73.01,"Clustering Average (11 datasets)":46.2,"PairClassification Average (3 datasets)":84.57,"Reranking Average (4 datasets)":58.61,"Retrieval Average (15 datasets)":51.14,"STS Average (10 datasets)":82.3,"Summarization Average (1 datasets)":31.17}
|
51 |
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{"index":
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52 |
{"index":28,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":62.39,"Classification Average (12 datasets)":74.12,"Clustering Average (11 datasets)":43.91,"PairClassification Average (3 datasets)":85.15,"Reranking Average (4 datasets)":55.69,"Retrieval Average (15 datasets)":52.81,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.08}
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53 |
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{"index":
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54 |
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{"index":
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55 |
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{"index":
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56 |
{"index":196,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":62.28,"Classification Average (12 datasets)":73.55,"Clustering Average (11 datasets)":43.93,"PairClassification Average (3 datasets)":84.61,"Reranking Average (4 datasets)":55.78,"Retrieval Average (15 datasets)":53.01,"STS Average (10 datasets)":81.94,"Summarization Average (1 datasets)":30.4}
|
57 |
{"index":267,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average (56 datasets)":62.26,"Classification Average (12 datasets)":73.21,"Clustering Average (11 datasets)":46.65,"PairClassification Average (3 datasets)":85.04,"Reranking Average (4 datasets)":56.72,"Retrieval Average (15 datasets)":51.08,"STS Average (10 datasets)":81.58,"Summarization Average (1 datasets)":31.12}
|
58 |
{"index":142,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":62.25,"Classification Average (12 datasets)":75.24,"Clustering Average (11 datasets)":44.49,"PairClassification Average (3 datasets)":86.03,"Reranking Average (4 datasets)":56.61,"Retrieval Average (15 datasets)":50.56,"STS Average (10 datasets)":82.05,"Summarization Average (1 datasets)":30.19}
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@@ -63,8 +63,8 @@
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|
63 |
{"index":65,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average (56 datasets)":61.85,"Classification Average (12 datasets)":72.21,"Clustering Average (11 datasets)":43.57,"PairClassification Average (3 datasets)":86.21,"Reranking Average (4 datasets)":55.38,"Retrieval Average (15 datasets)":51.44,"STS Average (10 datasets)":83.58,"Summarization Average (1 datasets)":30.01}
|
64 |
{"index":137,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":61.79,"Classification Average (12 datasets)":73.12,"Clustering Average (11 datasets)":44.74,"PairClassification Average (3 datasets)":86.62,"Reranking Average (4 datasets)":57.29,"Retrieval Average (15 datasets)":49.26,"STS Average (10 datasets)":83.06,"Summarization Average (1 datasets)":32.32}
|
65 |
{"index":136,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":61.59,"Classification Average (12 datasets)":73.86,"Clustering Average (11 datasets)":45.29,"PairClassification Average (3 datasets)":85.89,"Reranking Average (4 datasets)":57.54,"Retrieval Average (15 datasets)":47.57,"STS Average (10 datasets)":83.15,"Summarization Average (1 datasets)":31.84}
|
66 |
-
{"index":
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67 |
-
{"index":
|
68 |
{"index":147,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (56 datasets)":61.5,"Classification Average (12 datasets)":74.81,"Clustering Average (11 datasets)":41.06,"PairClassification Average (3 datasets)":84.75,"Reranking Average (4 datasets)":55.86,"Retrieval Average (15 datasets)":51.43,"STS Average (10 datasets)":81.56,"Summarization Average (1 datasets)":29.69}
|
69 |
{"index":141,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":61.42,"Classification Average (12 datasets)":73.14,"Clustering Average (11 datasets)":43.33,"PairClassification Average (3 datasets)":85.94,"Reranking Average (4 datasets)":56.53,"Retrieval Average (15 datasets)":49.99,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.97}
|
70 |
{"index":190,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":61.36,"Classification Average (12 datasets)":73.65,"Clustering Average (11 datasets)":43.7,"PairClassification Average (3 datasets)":84.59,"Reranking Average (4 datasets)":53.32,"Retrieval Average (15 datasets)":51.43,"STS Average (10 datasets)":80.22,"Summarization Average (1 datasets)":31.28}
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36 |
{"index":36,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":64.01,"Classification Average (12 datasets)":76.01,"Clustering Average (11 datasets)":46.6,"PairClassification Average (3 datasets)":86.15,"Reranking Average (4 datasets)":57.86,"Retrieval Average (15 datasets)":53.84,"STS Average (10 datasets)":83.15,"Summarization Average (1 datasets)":30.99}
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37 |
{"index":111,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.71,"Classification Average (12 datasets)":76.03,"Clustering Average (11 datasets)":46.21,"PairClassification Average (3 datasets)":86.32,"Reranking Average (4 datasets)":59.37,"Retrieval Average (15 datasets)":52.31,"STS Average (10 datasets)":83.51,"Summarization Average (1 datasets)":30.87}
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38 |
{"index":20,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.56,"Classification Average (12 datasets)":75.53,"Clustering Average (11 datasets)":45.81,"PairClassification Average (3 datasets)":86.55,"Reranking Average (4 datasets)":58.86,"Retrieval Average (15 datasets)":53.25,"STS Average (10 datasets)":82.4,"Summarization Average (1 datasets)":31.07}
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{"index":165,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.55,"Classification Average (12 datasets)":75.53,"Clustering Average (11 datasets)":45.77,"PairClassification Average (3 datasets)":86.55,"Reranking Average (4 datasets)":58.86,"Retrieval Average (15 datasets)":53.25,"STS Average (10 datasets)":82.4,"Summarization Average (1 datasets)":31.07}
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40 |
{"index":166,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.55,"Classification Average (12 datasets)":75.53,"Clustering Average (11 datasets)":45.77,"PairClassification Average (3 datasets)":86.55,"Reranking Average (4 datasets)":58.86,"Retrieval Average (15 datasets)":53.25,"STS Average (10 datasets)":82.4,"Summarization Average (1 datasets)":31.07}
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{"index":167,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.55,"Classification Average (12 datasets)":75.53,"Clustering Average (11 datasets)":45.77,"PairClassification Average (3 datasets)":86.55,"Reranking Average (4 datasets)":58.86,"Retrieval Average (15 datasets)":53.25,"STS Average (10 datasets)":82.4,"Summarization Average (1 datasets)":31.07}
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{"index":172,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":63.54,"Classification Average (12 datasets)":75.99,"Clustering Average (11 datasets)":45.58,"PairClassification Average (3 datasets)":87.37,"Reranking Average (4 datasets)":60.04,"Retrieval Average (15 datasets)":51.92,"STS Average (10 datasets)":83.34,"Summarization Average (1 datasets)":30.82}
|
44 |
{"index":156,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":63.34,"Classification Average (12 datasets)":73.96,"Clustering Average (11 datasets)":46.61,"PairClassification Average (3 datasets)":86.85,"Reranking Average (4 datasets)":59.86,"Retrieval Average (15 datasets)":51.8,"STS Average (10 datasets)":83.85,"Summarization Average (1 datasets)":31.61}
|
45 |
{"index":179,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":63.25,"Classification Average (12 datasets)":74.14,"Clustering Average (11 datasets)":46.07,"PairClassification Average (3 datasets)":85.89,"Reranking Average (4 datasets)":58.94,"Retrieval Average (15 datasets)":51.42,"STS Average (10 datasets)":84.9,"Summarization Average (1 datasets)":31.55}
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|
48 |
{"index":114,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average (56 datasets)":62.72,"Classification Average (12 datasets)":76.11,"Clustering Average (11 datasets)":44.82,"PairClassification Average (3 datasets)":84.68,"Reranking Average (4 datasets)":58.56,"Retrieval Average (15 datasets)":50.43,"STS Average (10 datasets)":83.03,"Summarization Average (1 datasets)":31.14}
|
49 |
{"index":138,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":62.61,"Classification Average (12 datasets)":75.28,"Clustering Average (11 datasets)":44.9,"PairClassification Average (3 datasets)":86.45,"Reranking Average (4 datasets)":58.78,"Retrieval Average (15 datasets)":50.1,"STS Average (10 datasets)":83.02,"Summarization Average (1 datasets)":32.52}
|
50 |
{"index":235,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":62.39,"Classification Average (12 datasets)":73.01,"Clustering Average (11 datasets)":46.2,"PairClassification Average (3 datasets)":84.57,"Reranking Average (4 datasets)":58.61,"Retrieval Average (15 datasets)":51.14,"STS Average (10 datasets)":82.3,"Summarization Average (1 datasets)":31.17}
|
51 |
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{"index":26,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":62.39,"Classification Average (12 datasets)":74.12,"Clustering Average (11 datasets)":43.91,"PairClassification Average (3 datasets)":85.15,"Reranking Average (4 datasets)":55.69,"Retrieval Average (15 datasets)":52.81,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.08}
|
52 |
{"index":28,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":62.39,"Classification Average (12 datasets)":74.12,"Clustering Average (11 datasets)":43.91,"PairClassification Average (3 datasets)":85.15,"Reranking Average (4 datasets)":55.69,"Retrieval Average (15 datasets)":52.81,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.08}
|
53 |
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{"index":189,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":62.39,"Classification Average (12 datasets)":74.12,"Clustering Average (11 datasets)":43.91,"PairClassification Average (3 datasets)":85.15,"Reranking Average (4 datasets)":55.69,"Retrieval Average (15 datasets)":52.81,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.08}
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54 |
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{"index":29,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":62.39,"Classification Average (12 datasets)":74.12,"Clustering Average (11 datasets)":43.91,"PairClassification Average (3 datasets)":85.15,"Reranking Average (4 datasets)":55.69,"Retrieval Average (15 datasets)":52.81,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.08}
|
55 |
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{"index":27,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":62.39,"Classification Average (12 datasets)":74.12,"Clustering Average (11 datasets)":43.91,"PairClassification Average (3 datasets)":85.15,"Reranking Average (4 datasets)":55.69,"Retrieval Average (15 datasets)":52.81,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.08}
|
56 |
{"index":196,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":62.28,"Classification Average (12 datasets)":73.55,"Clustering Average (11 datasets)":43.93,"PairClassification Average (3 datasets)":84.61,"Reranking Average (4 datasets)":55.78,"Retrieval Average (15 datasets)":53.01,"STS Average (10 datasets)":81.94,"Summarization Average (1 datasets)":30.4}
|
57 |
{"index":267,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average (56 datasets)":62.26,"Classification Average (12 datasets)":73.21,"Clustering Average (11 datasets)":46.65,"PairClassification Average (3 datasets)":85.04,"Reranking Average (4 datasets)":56.72,"Retrieval Average (15 datasets)":51.08,"STS Average (10 datasets)":81.58,"Summarization Average (1 datasets)":31.12}
|
58 |
{"index":142,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":62.25,"Classification Average (12 datasets)":75.24,"Clustering Average (11 datasets)":44.49,"PairClassification Average (3 datasets)":86.03,"Reranking Average (4 datasets)":56.61,"Retrieval Average (15 datasets)":50.56,"STS Average (10 datasets)":82.05,"Summarization Average (1 datasets)":30.19}
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63 |
{"index":65,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average (56 datasets)":61.85,"Classification Average (12 datasets)":72.21,"Clustering Average (11 datasets)":43.57,"PairClassification Average (3 datasets)":86.21,"Reranking Average (4 datasets)":55.38,"Retrieval Average (15 datasets)":51.44,"STS Average (10 datasets)":83.58,"Summarization Average (1 datasets)":30.01}
|
64 |
{"index":137,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":61.79,"Classification Average (12 datasets)":73.12,"Clustering Average (11 datasets)":44.74,"PairClassification Average (3 datasets)":86.62,"Reranking Average (4 datasets)":57.29,"Retrieval Average (15 datasets)":49.26,"STS Average (10 datasets)":83.06,"Summarization Average (1 datasets)":32.32}
|
65 |
{"index":136,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":61.59,"Classification Average (12 datasets)":73.86,"Clustering Average (11 datasets)":45.29,"PairClassification Average (3 datasets)":85.89,"Reranking Average (4 datasets)":57.54,"Retrieval Average (15 datasets)":47.57,"STS Average (10 datasets)":83.15,"Summarization Average (1 datasets)":31.84}
|
66 |
+
{"index":140,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":61.5,"Classification Average (12 datasets)":73.84,"Clustering Average (11 datasets)":43.8,"PairClassification Average (3 datasets)":85.73,"Reranking Average (4 datasets)":55.91,"Retrieval Average (15 datasets)":50.29,"STS Average (10 datasets)":81.05,"Summarization Average (1 datasets)":30.28}
|
67 |
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{"index":128,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average (56 datasets)":61.5,"Classification Average (12 datasets)":73.84,"Clustering Average (11 datasets)":43.8,"PairClassification Average (3 datasets)":85.73,"Reranking Average (4 datasets)":55.91,"Retrieval Average (15 datasets)":50.29,"STS Average (10 datasets)":81.05,"Summarization Average (1 datasets)":30.28}
|
68 |
{"index":147,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (56 datasets)":61.5,"Classification Average (12 datasets)":74.81,"Clustering Average (11 datasets)":41.06,"PairClassification Average (3 datasets)":84.75,"Reranking Average (4 datasets)":55.86,"Retrieval Average (15 datasets)":51.43,"STS Average (10 datasets)":81.56,"Summarization Average (1 datasets)":29.69}
|
69 |
{"index":141,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":61.42,"Classification Average (12 datasets)":73.14,"Clustering Average (11 datasets)":43.33,"PairClassification Average (3 datasets)":85.94,"Reranking Average (4 datasets)":56.53,"Retrieval Average (15 datasets)":49.99,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.97}
|
70 |
{"index":190,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":61.36,"Classification Average (12 datasets)":73.65,"Clustering Average (11 datasets)":43.7,"PairClassification Average (3 datasets)":84.59,"Reranking Average (4 datasets)":53.32,"Retrieval Average (15 datasets)":51.43,"STS Average (10 datasets)":80.22,"Summarization Average (1 datasets)":31.28}
|
boards_data/en/data_tasks/Classification/default.jsonl
CHANGED
@@ -34,11 +34,11 @@
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|
34 |
{"index":61,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Average":75.92,"AmazonCounterfactualClassification (en)":79.94,"AmazonPolarityClassification":86.07,"AmazonReviewsClassification (en)":46.84,"Banking77Classification":88.05,"EmotionClassification":51.2,"ImdbClassification":82.94,"MassiveIntentClassification (en)":79.8,"MassiveScenarioClassification (en)":81.52,"MTOPDomainClassification (en)":96.14,"MTOPIntentClassification (en)":86.11,"ToxicConversationsClassification":70.59,"TweetSentimentExtractionClassification":61.9}
|
35 |
{"index":180,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":75.64,"AmazonCounterfactualClassification (en)":75.04,"AmazonPolarityClassification":93.84,"AmazonReviewsClassification (en)":49.18,"Banking77Classification":87.82,"EmotionClassification":50.88,"ImdbClassification":92.83,"MassiveIntentClassification (en)":76.24,"MassiveScenarioClassification (en)":79.95,"MTOPDomainClassification (en)":93.95,"MTOPIntentClassification (en)":76.79,"ToxicConversationsClassification":71.48,"TweetSentimentExtractionClassification":59.71}
|
36 |
{"index":106,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":75.58,"AmazonCounterfactualClassification (en)":75.55,"AmazonPolarityClassification":92.84,"AmazonReviewsClassification (en)":48.29,"Banking77Classification":87.69,"EmotionClassification":51.75,"ImdbClassification":92.78,"MassiveIntentClassification (en)":76.5,"MassiveScenarioClassification (en)":79.75,"MTOPDomainClassification (en)":94.02,"MTOPIntentClassification (en)":76.92,"ToxicConversationsClassification":71.09,"TweetSentimentExtractionClassification":59.75}
|
37 |
-
{"index":
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38 |
-
{"index":
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39 |
-
{"index":
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40 |
-
{"index":
|
41 |
-
{"index":
|
42 |
{"index":116,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":75.53,"AmazonCounterfactualClassification (en)":76.15,"AmazonPolarityClassification":93.39,"AmazonReviewsClassification (en)":48.85,"Banking77Classification":86.95,"EmotionClassification":51.9,"ImdbClassification":90.81,"MassiveIntentClassification (en)":76.15,"MassiveScenarioClassification (en)":80.16,"MTOPDomainClassification (en)":94.17,"MTOPIntentClassification (en)":76.91,"ToxicConversationsClassification":71.58,"TweetSentimentExtractionClassification":59.38}
|
43 |
{"index":266,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":75.45,"AmazonCounterfactualClassification (en)":78.93,"AmazonPolarityClassification":92.85,"AmazonReviewsClassification (en)":48.7,"Banking77Classification":85.69,"EmotionClassification":51.58,"ImdbClassification":87.67,"MassiveIntentClassification (en)":74.64,"MassiveScenarioClassification (en)":79.79,"MTOPDomainClassification (en)":95.36,"MTOPIntentClassification (en)":75.07,"ToxicConversationsClassification":72.92,"TweetSentimentExtractionClassification":62.22}
|
44 |
{"index":138,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Average":75.28,"AmazonCounterfactualClassification (en)":77.19,"AmazonPolarityClassification":93.26,"AmazonReviewsClassification (en)":49.61,"Banking77Classification":84.73,"EmotionClassification":54.47,"ImdbClassification":91.31,"MassiveIntentClassification (en)":73.88,"MassiveScenarioClassification (en)":78.28,"MTOPDomainClassification (en)":93.5,"MTOPIntentClassification (en)":71.06,"ToxicConversationsClassification":72.99,"TweetSentimentExtractionClassification":63.07}
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@@ -51,10 +51,10 @@
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|
51 |
{"index":33,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":74.31,"AmazonCounterfactualClassification (en)":78.63,"AmazonPolarityClassification":94.8,"AmazonReviewsClassification (en)":51.02,"Banking77Classification":79.7,"EmotionClassification":52.74,"ImdbClassification":92.17,"MassiveIntentClassification (en)":70.01,"MassiveScenarioClassification (en)":76.34,"MTOPDomainClassification (en)":93.63,"MTOPIntentClassification (en)":64.93,"ToxicConversationsClassification":73.04,"TweetSentimentExtractionClassification":64.72}
|
52 |
{"index":24,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":74.14,"AmazonCounterfactualClassification (en)":73.79,"AmazonPolarityClassification":92.75,"AmazonReviewsClassification (en)":46.99,"Banking77Classification":85.74,"EmotionClassification":47.84,"ImdbClassification":90.61,"MassiveIntentClassification (en)":74.81,"MassiveScenarioClassification (en)":78.7,"MTOPDomainClassification (en)":93.36,"MTOPIntentClassification (en)":74.75,"ToxicConversationsClassification":69.89,"TweetSentimentExtractionClassification":60.51}
|
53 |
{"index":179,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":74.14,"AmazonCounterfactualClassification (en)":74.76,"AmazonPolarityClassification":93.26,"AmazonReviewsClassification (en)":46.16,"Banking77Classification":86.65,"EmotionClassification":49.32,"ImdbClassification":90.4,"MassiveIntentClassification (en)":73.87,"MassiveScenarioClassification (en)":78.17,"MTOPDomainClassification (en)":93.1,"MTOPIntentClassification (en)":73.24,"ToxicConversationsClassification":71.53,"TweetSentimentExtractionClassification":59.25}
|
54 |
-
{"index":
|
55 |
-
{"index":
|
56 |
{"index":27,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":74.12,"AmazonCounterfactualClassification (en)":76.85,"AmazonPolarityClassification":91.52,"AmazonReviewsClassification (en)":47.36,"Banking77Classification":84.54,"EmotionClassification":48.35,"ImdbClassification":85.56,"MassiveIntentClassification (en)":73.72,"MassiveScenarioClassification (en)":77.8,"MTOPDomainClassification (en)":93.41,"MTOPIntentClassification (en)":77.25,"ToxicConversationsClassification":71.5,"TweetSentimentExtractionClassification":61.54}
|
57 |
-
{"index":
|
58 |
{"index":26,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":74.12,"AmazonCounterfactualClassification (en)":76.85,"AmazonPolarityClassification":91.52,"AmazonReviewsClassification (en)":47.36,"Banking77Classification":84.54,"EmotionClassification":48.35,"ImdbClassification":85.56,"MassiveIntentClassification (en)":73.72,"MassiveScenarioClassification (en)":77.8,"MTOPDomainClassification (en)":93.41,"MTOPIntentClassification (en)":77.25,"ToxicConversationsClassification":71.5,"TweetSentimentExtractionClassification":61.54}
|
59 |
{"index":64,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":74.07,"AmazonCounterfactualClassification (en)":76.94,"AmazonPolarityClassification":85.29,"AmazonReviewsClassification (en)":47.09,"Banking77Classification":86.16,"EmotionClassification":48.88,"ImdbClassification":77.95,"MassiveIntentClassification (en)":76.65,"MassiveScenarioClassification (en)":79.99,"MTOPDomainClassification (en)":95.48,"MTOPIntentClassification (en)":82.84,"ToxicConversationsClassification":70.71,"TweetSentimentExtractionClassification":60.9}
|
60 |
{"index":156,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":73.96,"AmazonCounterfactualClassification (en)":70.85,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":48.94,"Banking77Classification":84.61,"EmotionClassification":54.9,"ImdbClassification":93.14,"MassiveIntentClassification (en)":73.49,"MassiveScenarioClassification (en)":77.38,"MTOPDomainClassification (en)":93.64,"MTOPIntentClassification (en)":66.01,"ToxicConversationsClassification":71.19,"TweetSentimentExtractionClassification":61.55}
|
@@ -122,8 +122,8 @@
|
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122 |
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124 |
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125 |
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126 |
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{"index":
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127 |
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128 |
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129 |
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34 |
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37 |
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{"index":167,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":75.53,"AmazonCounterfactualClassification (en)":76.15,"AmazonPolarityClassification":93.39,"AmazonReviewsClassification (en)":48.85,"Banking77Classification":86.95,"EmotionClassification":51.9,"ImdbClassification":90.81,"MassiveIntentClassification (en)":76.15,"MassiveScenarioClassification (en)":80.16,"MTOPDomainClassification (en)":94.17,"MTOPIntentClassification (en)":76.91,"ToxicConversationsClassification":71.58,"TweetSentimentExtractionClassification":59.38}
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38 |
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{"index":166,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":75.53,"AmazonCounterfactualClassification (en)":76.15,"AmazonPolarityClassification":93.39,"AmazonReviewsClassification (en)":48.85,"Banking77Classification":86.95,"EmotionClassification":51.9,"ImdbClassification":90.81,"MassiveIntentClassification (en)":76.15,"MassiveScenarioClassification (en)":80.16,"MTOPDomainClassification (en)":94.17,"MTOPIntentClassification (en)":76.91,"ToxicConversationsClassification":71.58,"TweetSentimentExtractionClassification":59.38}
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39 |
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40 |
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41 |
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{"index":168,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":75.53,"AmazonCounterfactualClassification (en)":76.15,"AmazonPolarityClassification":93.39,"AmazonReviewsClassification (en)":48.85,"Banking77Classification":86.95,"EmotionClassification":51.9,"ImdbClassification":90.81,"MassiveIntentClassification (en)":76.15,"MassiveScenarioClassification (en)":80.16,"MTOPDomainClassification (en)":94.17,"MTOPIntentClassification (en)":76.91,"ToxicConversationsClassification":71.58,"TweetSentimentExtractionClassification":59.38}
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42 |
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43 |
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44 |
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51 |
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52 |
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53 |
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54 |
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{"index":189,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":74.12,"AmazonCounterfactualClassification (en)":76.85,"AmazonPolarityClassification":91.52,"AmazonReviewsClassification (en)":47.36,"Banking77Classification":84.54,"EmotionClassification":48.35,"ImdbClassification":85.56,"MassiveIntentClassification (en)":73.72,"MassiveScenarioClassification (en)":77.8,"MTOPDomainClassification (en)":93.41,"MTOPIntentClassification (en)":77.25,"ToxicConversationsClassification":71.5,"TweetSentimentExtractionClassification":61.54}
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55 |
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56 |
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57 |
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58 |
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59 |
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60 |
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122 |
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123 |
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124 |
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125 |
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{"index":74,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v3\">gte-micro-v3<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":67.47,"AmazonCounterfactualClassification (en)":71.43,"AmazonPolarityClassification":77.72,"AmazonReviewsClassification (en)":38.96,"Banking77Classification":80.4,"EmotionClassification":44.54,"ImdbClassification":70.59,"MassiveIntentClassification (en)":68.5,"MassiveScenarioClassification (en)":73.55,"MTOPDomainClassification (en)":90.5,"MTOPIntentClassification (en)":67.52,"ToxicConversationsClassification":66.69,"TweetSentimentExtractionClassification":59.29}
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126 |
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{"index":73,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v2\">gte-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":67.47,"AmazonCounterfactualClassification (en)":71.43,"AmazonPolarityClassification":77.72,"AmazonReviewsClassification (en)":38.96,"Banking77Classification":80.4,"EmotionClassification":44.54,"ImdbClassification":70.59,"MassiveIntentClassification (en)":68.5,"MassiveScenarioClassification (en)":73.55,"MTOPDomainClassification (en)":90.5,"MTOPIntentClassification (en)":67.52,"ToxicConversationsClassification":66.69,"TweetSentimentExtractionClassification":59.29}
|
127 |
{"index":221,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Average":67.41,"AmazonCounterfactualClassification (en)":67.3,"AmazonPolarityClassification":75.05,"AmazonReviewsClassification (en)":37.3,"Banking77Classification":82.32,"EmotionClassification":43.19,"ImdbClassification":70.8,"MassiveIntentClassification (en)":70.61,"MassiveScenarioClassification (en)":77.77,"MTOPDomainClassification (en)":93.84,"MTOPIntentClassification (en)":67.71,"ToxicConversationsClassification":68.48,"TweetSentimentExtractionClassification":54.54}
|
128 |
{"index":200,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/sup-simcse-bert-base-uncased\">sup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":67.32,"AmazonCounterfactualClassification (en)":75.75,"AmazonPolarityClassification":82.47,"AmazonReviewsClassification (en)":39.6,"Banking77Classification":75.76,"EmotionClassification":44.81,"ImdbClassification":73.53,"MassiveIntentClassification (en)":65.95,"MassiveScenarioClassification (en)":70.78,"MTOPDomainClassification (en)":84.29,"MTOPIntentClassification (en)":63.14,"ToxicConversationsClassification":72.04,"TweetSentimentExtractionClassification":59.73}
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129 |
{"index":44,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Hum-Works\/lodestone-base-4096-v1\">lodestone-base-4096-v1<\/a>","Model Size (Million Parameters)":69,"Memory Usage (GB, fp32)":0.26,"Average":67.3,"AmazonCounterfactualClassification (en)":69.73,"AmazonPolarityClassification":86.9,"AmazonReviewsClassification (en)":44.05,"Banking77Classification":75.41,"EmotionClassification":41.99,"ImdbClassification":79.54,"MassiveIntentClassification (en)":63.34,"MassiveScenarioClassification (en)":72.37,"MTOPDomainClassification (en)":89.67,"MTOPIntentClassification (en)":60.28,"ToxicConversationsClassification":67.94,"TweetSentimentExtractionClassification":56.41}
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boards_data/en/data_tasks/Clustering/default.jsonl
CHANGED
@@ -40,11 +40,11 @@
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|
40 |
{"index":179,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":46.07,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.34,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":36.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.22,"RedditClustering":57.93,"RedditClusteringP2P":62.47,"StackExchangeClustering":66.41,"StackExchangeClusteringP2P":35.32,"TwentyNewsgroupsClustering":51.48}
|
41 |
{"index":264,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":45.9,"ArxivClusteringP2P":45.01,"ArxivClusteringS2S":36.85,"BiorxivClusteringP2P":36.66,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":32.6,"MedrxivClusteringS2S":30.8,"RedditClustering":61.42,"RedditClusteringP2P":64.13,"StackExchangeClustering":72.22,"StackExchangeClusteringP2P":38.49,"TwentyNewsgroupsClustering":52.56}
|
42 |
{"index":20,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":45.81,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":36.62,"MedrxivClusteringP2P":33.21,"MedrxivClusteringS2S":31.68,"RedditClustering":56.61,"RedditClusteringP2P":62.66,"StackExchangeClustering":66.11,"StackExchangeClusteringP2P":35.24,"TwentyNewsgroupsClustering":50.75}
|
43 |
-
{"index":
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44 |
-
{"index":
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45 |
-
{"index":
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46 |
-
{"index":
|
47 |
-
{"index":
|
48 |
{"index":172,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":45.58,"ArxivClusteringP2P":48.58,"ArxivClusteringS2S":43.14,"BiorxivClusteringP2P":38.84,"BiorxivClusteringS2S":36.38,"MedrxivClusteringP2P":31.96,"MedrxivClusteringS2S":30.88,"RedditClustering":57.61,"RedditClusteringP2P":64.03,"StackExchangeClustering":65.54,"StackExchangeClusteringP2P":33.98,"TwentyNewsgroupsClustering":50.41}
|
49 |
{"index":63,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":45.54,"ArxivClusteringP2P":42.81,"ArxivClusteringS2S":44.24,"BiorxivClusteringP2P":34.27,"BiorxivClusteringS2S":35.53,"MedrxivClusteringP2P":31.07,"MedrxivClusteringS2S":31.27,"RedditClustering":60.24,"RedditClusteringP2P":64.12,"StackExchangeClustering":70.73,"StackExchangeClusteringP2P":34.5,"TwentyNewsgroupsClustering":52.18}
|
50 |
{"index":136,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":45.29,"ArxivClusteringP2P":43.16,"ArxivClusteringS2S":32.56,"BiorxivClusteringP2P":37.62,"BiorxivClusteringS2S":31.33,"MedrxivClusteringP2P":34.22,"MedrxivClusteringS2S":32.0,"RedditClustering":63.65,"RedditClusteringP2P":64.63,"StackExchangeClustering":68.78,"StackExchangeClusteringP2P":36.15,"TwentyNewsgroupsClustering":54.13}
|
@@ -59,14 +59,14 @@
|
|
59 |
{"index":33,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":44.64,"ArxivClusteringP2P":46.19,"ArxivClusteringS2S":37.58,"BiorxivClusteringP2P":38.97,"BiorxivClusteringS2S":34.52,"MedrxivClusteringP2P":37.66,"MedrxivClusteringS2S":33.54,"RedditClustering":53.5,"RedditClusteringP2P":63.59,"StackExchangeClustering":62.94,"StackExchangeClusteringP2P":36.48,"TwentyNewsgroupsClustering":46.06}
|
60 |
{"index":142,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":44.49,"ArxivClusteringP2P":45.55,"ArxivClusteringS2S":41.02,"BiorxivClusteringP2P":37.36,"BiorxivClusteringS2S":34.85,"MedrxivClusteringP2P":31.82,"MedrxivClusteringS2S":30.38,"RedditClustering":55.83,"RedditClusteringP2P":63.38,"StackExchangeClustering":65.92,"StackExchangeClusteringP2P":33.67,"TwentyNewsgroupsClustering":49.6}
|
61 |
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|
62 |
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{"index":
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63 |
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{"index":
|
64 |
{"index":27,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
|
65 |
-
{"index":
|
66 |
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{"index":
|
67 |
{"index":24,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":43.82,"ArxivClusteringP2P":47.4,"ArxivClusteringS2S":40.02,"BiorxivClusteringP2P":38.47,"BiorxivClusteringS2S":34.72,"MedrxivClusteringP2P":33.06,"MedrxivClusteringS2S":30.86,"RedditClustering":52.32,"RedditClusteringP2P":60.64,"StackExchangeClustering":60.78,"StackExchangeClusteringP2P":35.27,"TwentyNewsgroupsClustering":48.52}
|
68 |
-
{"index":
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69 |
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{"index":
|
70 |
{"index":229,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Average":43.72,"ArxivClusteringP2P":42.89,"ArxivClusteringS2S":33.47,"BiorxivClusteringP2P":36.53,"BiorxivClusteringS2S":28.66,"MedrxivClusteringP2P":32.09,"MedrxivClusteringS2S":26.82,"RedditClustering":58.99,"RedditClusteringP2P":64.46,"StackExchangeClustering":70.78,"StackExchangeClusteringP2P":35.25,"TwentyNewsgroupsClustering":50.93}
|
71 |
{"index":194,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":43.71,"ArxivClusteringP2P":45.45,"ArxivClusteringS2S":36.19,"BiorxivClusteringP2P":38.41,"BiorxivClusteringS2S":32.28,"MedrxivClusteringP2P":34.47,"MedrxivClusteringS2S":31.43,"RedditClustering":55.9,"RedditClusteringP2P":60.58,"StackExchangeClustering":62.94,"StackExchangeClusteringP2P":33.81,"TwentyNewsgroupsClustering":49.36}
|
72 |
{"index":190,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.7,"ArxivClusteringP2P":45.85,"ArxivClusteringS2S":36.13,"BiorxivClusteringP2P":38.46,"BiorxivClusteringS2S":33.14,"MedrxivClusteringP2P":32.73,"MedrxivClusteringS2S":30.55,"RedditClustering":56.82,"RedditClusteringP2P":61.57,"StackExchangeClustering":63.18,"StackExchangeClusteringP2P":33.51,"TwentyNewsgroupsClustering":48.72}
|
@@ -115,8 +115,8 @@
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|
115 |
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|
116 |
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117 |
{"index":178,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mgoin\/all-MiniLM-L6-v2-ds\">all-MiniLM-L6-v2-ds<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":39.94,"ArxivClusteringP2P":46.19,"ArxivClusteringS2S":36.91,"BiorxivClusteringP2P":38.59,"BiorxivClusteringS2S":32.32,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":29.92,"RedditClustering":45.63,"RedditClusteringP2P":53.37,"StackExchangeClustering":47.28,"StackExchangeClusteringP2P":34.25,"TwentyNewsgroupsClustering":42.38}
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118 |
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{"index":
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119 |
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{"index":
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120 |
{"index":81,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Average":39.83,"ArxivClusteringP2P":44.72,"ArxivClusteringS2S":35.08,"BiorxivClusteringP2P":34.41,"BiorxivClusteringS2S":30.53,"MedrxivClusteringP2P":31.35,"MedrxivClusteringS2S":28.77,"RedditClustering":46.47,"RedditClusteringP2P":54.17,"StackExchangeClustering":59.19,"StackExchangeClusteringP2P":32.57,"TwentyNewsgroupsClustering":40.89}
|
121 |
{"index":75,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Average":39.54,"ArxivClusteringP2P":42.86,"ArxivClusteringS2S":32.48,"BiorxivClusteringP2P":36.83,"BiorxivClusteringS2S":29.24,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":30.8,"RedditClustering":48.28,"RedditClusteringP2P":53.56,"StackExchangeClustering":55.07,"StackExchangeClusteringP2P":31.92,"TwentyNewsgroupsClustering":41.37}
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122 |
{"index":144,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":39.51,"ArxivClusteringP2P":44.14,"ArxivClusteringS2S":37.14,"BiorxivClusteringP2P":35.81,"BiorxivClusteringS2S":31.86,"MedrxivClusteringP2P":31.34,"MedrxivClusteringS2S":28.2,"RedditClustering":42.87,"RedditClusteringP2P":56.39,"StackExchangeClustering":59.08,"StackExchangeClusteringP2P":30.3,"TwentyNewsgroupsClustering":37.51}
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40 |
{"index":179,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":46.07,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.34,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":36.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.22,"RedditClustering":57.93,"RedditClusteringP2P":62.47,"StackExchangeClustering":66.41,"StackExchangeClusteringP2P":35.32,"TwentyNewsgroupsClustering":51.48}
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41 |
{"index":264,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":45.9,"ArxivClusteringP2P":45.01,"ArxivClusteringS2S":36.85,"BiorxivClusteringP2P":36.66,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":32.6,"MedrxivClusteringS2S":30.8,"RedditClustering":61.42,"RedditClusteringP2P":64.13,"StackExchangeClustering":72.22,"StackExchangeClusteringP2P":38.49,"TwentyNewsgroupsClustering":52.56}
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42 |
{"index":20,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":45.81,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":36.62,"MedrxivClusteringP2P":33.21,"MedrxivClusteringS2S":31.68,"RedditClustering":56.61,"RedditClusteringP2P":62.66,"StackExchangeClustering":66.11,"StackExchangeClusteringP2P":35.24,"TwentyNewsgroupsClustering":50.75}
|
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{"index":167,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
|
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{"index":116,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
|
45 |
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{"index":165,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
|
46 |
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{"index":168,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
|
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{"index":166,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
|
48 |
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49 |
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|
50 |
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59 |
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60 |
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|
61 |
{"index":196,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
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62 |
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{"index":29,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
|
63 |
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{"index":26,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
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64 |
{"index":27,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
|
65 |
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{"index":189,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
|
66 |
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{"index":28,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
|
67 |
{"index":24,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":43.82,"ArxivClusteringP2P":47.4,"ArxivClusteringS2S":40.02,"BiorxivClusteringP2P":38.47,"BiorxivClusteringS2S":34.72,"MedrxivClusteringP2P":33.06,"MedrxivClusteringS2S":30.86,"RedditClustering":52.32,"RedditClusteringP2P":60.64,"StackExchangeClustering":60.78,"StackExchangeClusteringP2P":35.27,"TwentyNewsgroupsClustering":48.52}
|
68 |
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{"index":128,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Average":43.8,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.5,"BiorxivClusteringS2S":32.72,"MedrxivClusteringP2P":31.46,"MedrxivClusteringS2S":28.99,"RedditClustering":56.16,"RedditClusteringP2P":63.43,"StackExchangeClustering":65.15,"StackExchangeClusteringP2P":32.5,"TwentyNewsgroupsClustering":48.16}
|
69 |
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{"index":140,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":43.8,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.5,"BiorxivClusteringS2S":32.72,"MedrxivClusteringP2P":31.46,"MedrxivClusteringS2S":28.99,"RedditClustering":56.16,"RedditClusteringP2P":63.43,"StackExchangeClustering":65.15,"StackExchangeClusteringP2P":32.5,"TwentyNewsgroupsClustering":48.16}
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70 |
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71 |
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115 |
{"index":226,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":40.21,"ArxivClusteringP2P":39.28,"ArxivClusteringS2S":27.26,"BiorxivClusteringP2P":33.99,"BiorxivClusteringS2S":22.92,"MedrxivClusteringP2P":33.2,"MedrxivClusteringS2S":26.13,"RedditClustering":52.93,"RedditClusteringP2P":59.67,"StackExchangeClustering":63.13,"StackExchangeClusteringP2P":35.68,"TwentyNewsgroupsClustering":48.1}
|
116 |
{"index":163,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":40.08,"ArxivClusteringP2P":44.02,"ArxivClusteringS2S":35.16,"BiorxivClusteringP2P":35.57,"BiorxivClusteringS2S":29.07,"MedrxivClusteringP2P":31.86,"MedrxivClusteringS2S":27.51,"RedditClustering":49.28,"RedditClusteringP2P":57.09,"StackExchangeClustering":55.35,"StackExchangeClusteringP2P":34.42,"TwentyNewsgroupsClustering":41.57}
|
117 |
{"index":178,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mgoin\/all-MiniLM-L6-v2-ds\">all-MiniLM-L6-v2-ds<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":39.94,"ArxivClusteringP2P":46.19,"ArxivClusteringS2S":36.91,"BiorxivClusteringP2P":38.59,"BiorxivClusteringS2S":32.32,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":29.92,"RedditClustering":45.63,"RedditClusteringP2P":53.37,"StackExchangeClustering":47.28,"StackExchangeClusteringP2P":34.25,"TwentyNewsgroupsClustering":42.38}
|
118 |
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{"index":78,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Average":39.92,"ArxivClusteringP2P":43.38,"ArxivClusteringS2S":33.71,"BiorxivClusteringP2P":35.06,"BiorxivClusteringS2S":30.71,"MedrxivClusteringP2P":32.08,"MedrxivClusteringS2S":29.45,"RedditClustering":48.23,"RedditClusteringP2P":53.18,"StackExchangeClustering":60.86,"StackExchangeClusteringP2P":32.36,"TwentyNewsgroupsClustering":40.06}
|
119 |
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{"index":145,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":39.92,"ArxivClusteringP2P":42.12,"ArxivClusteringS2S":34.8,"BiorxivClusteringP2P":35.89,"BiorxivClusteringS2S":30.05,"MedrxivClusteringP2P":31.34,"MedrxivClusteringS2S":27.88,"RedditClustering":45.72,"RedditClusteringP2P":59.66,"StackExchangeClustering":58.51,"StackExchangeClusteringP2P":31.98,"TwentyNewsgroupsClustering":41.13}
|
120 |
{"index":81,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Average":39.83,"ArxivClusteringP2P":44.72,"ArxivClusteringS2S":35.08,"BiorxivClusteringP2P":34.41,"BiorxivClusteringS2S":30.53,"MedrxivClusteringP2P":31.35,"MedrxivClusteringS2S":28.77,"RedditClustering":46.47,"RedditClusteringP2P":54.17,"StackExchangeClustering":59.19,"StackExchangeClusteringP2P":32.57,"TwentyNewsgroupsClustering":40.89}
|
121 |
{"index":75,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Average":39.54,"ArxivClusteringP2P":42.86,"ArxivClusteringS2S":32.48,"BiorxivClusteringP2P":36.83,"BiorxivClusteringS2S":29.24,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":30.8,"RedditClustering":48.28,"RedditClusteringP2P":53.56,"StackExchangeClustering":55.07,"StackExchangeClusteringP2P":31.92,"TwentyNewsgroupsClustering":41.37}
|
122 |
{"index":144,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":39.51,"ArxivClusteringP2P":44.14,"ArxivClusteringS2S":37.14,"BiorxivClusteringP2P":35.81,"BiorxivClusteringS2S":31.86,"MedrxivClusteringP2P":31.34,"MedrxivClusteringS2S":28.2,"RedditClustering":42.87,"RedditClusteringP2P":56.39,"StackExchangeClustering":59.08,"StackExchangeClusteringP2P":30.3,"TwentyNewsgroupsClustering":37.51}
|
boards_data/en/data_tasks/PairClassification/default.jsonl
CHANGED
@@ -29,12 +29,12 @@
|
|
29 |
{"index":113,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":86.7,"SprintDuplicateQuestions":96.54,"TwitterSemEval2015":77.6,"TwitterURLCorpus":85.96}
|
30 |
{"index":137,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Average":86.62,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":77.99,"TwitterURLCorpus":86.93}
|
31 |
{"index":8,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":86.57,"SprintDuplicateQuestions":96.01,"TwitterSemEval2015":76.87,"TwitterURLCorpus":86.84}
|
32 |
-
{"index":
|
33 |
-
{"index":
|
34 |
{"index":165,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
35 |
-
{"index":
|
36 |
{"index":166,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
37 |
-
{"index":
|
38 |
{"index":138,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Average":86.45,"SprintDuplicateQuestions":95.69,"TwitterSemEval2015":77.67,"TwitterURLCorpus":86.0}
|
39 |
{"index":111,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.32,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.11}
|
40 |
{"index":183,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":86.24,"SprintDuplicateQuestions":96.38,"TwitterSemEval2015":76.41,"TwitterURLCorpus":85.93}
|
@@ -46,8 +46,8 @@
|
|
46 |
{"index":228,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Average":86.06,"SprintDuplicateQuestions":91.44,"TwitterSemEval2015":80.89,"TwitterURLCorpus":85.86}
|
47 |
{"index":142,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
48 |
{"index":141,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":85.94,"SprintDuplicateQuestions":95.42,"TwitterSemEval2015":76.1,"TwitterURLCorpus":86.31}
|
49 |
-
{"index":
|
50 |
-
{"index":
|
51 |
{"index":23,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":85.84,"SprintDuplicateQuestions":90.94,"TwitterSemEval2015":79.64,"TwitterURLCorpus":86.95}
|
52 |
{"index":34,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":85.84,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":74.8,"TwitterURLCorpus":86.46}
|
53 |
{"index":17,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Average":85.79,"SprintDuplicateQuestions":92.82,"TwitterSemEval2015":77.96,"TwitterURLCorpus":86.59}
|
@@ -60,11 +60,11 @@
|
|
60 |
{"index":18,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.33,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":75.53,"TwitterURLCorpus":85.51}
|
61 |
{"index":219,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":85.32,"SprintDuplicateQuestions":95.05,"TwitterSemEval2015":76.03,"TwitterURLCorpus":84.89}
|
62 |
{"index":226,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":85.18,"SprintDuplicateQuestions":91.23,"TwitterSemEval2015":78.25,"TwitterURLCorpus":86.05}
|
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-
{"index":
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-
{"index":
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-
{"index":
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-
{"index":
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-
{"index":
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{"index":139,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":85.09,"SprintDuplicateQuestions":94.88,"TwitterSemEval2015":74.4,"TwitterURLCorpus":85.98}
|
69 |
{"index":144,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":85.08,"SprintDuplicateQuestions":95.29,"TwitterSemEval2015":74.16,"TwitterURLCorpus":85.79}
|
70 |
{"index":186,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":85.06,"SprintDuplicateQuestions":95.0,"TwitterSemEval2015":74.5,"TwitterURLCorpus":85.69}
|
@@ -74,8 +74,8 @@
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74 |
{"index":267,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":85.04,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":73.33,"TwitterURLCorpus":87.21}
|
75 |
{"index":236,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":85.0,"SprintDuplicateQuestions":95.75,"TwitterSemEval2015":73.73,"TwitterURLCorpus":85.53}
|
76 |
{"index":115,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":84.99,"SprintDuplicateQuestions":96.14,"TwitterSemEval2015":73.48,"TwitterURLCorpus":85.36}
|
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-
{"index":
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78 |
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{"index":
|
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{"index":24,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":84.92,"SprintDuplicateQuestions":96.67,"TwitterSemEval2015":73.24,"TwitterURLCorpus":84.84}
|
80 |
{"index":264,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":84.89,"SprintDuplicateQuestions":92.17,"TwitterSemEval2015":75.28,"TwitterURLCorpus":87.22}
|
81 |
{"index":158,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":84.8,"SprintDuplicateQuestions":96.09,"TwitterSemEval2015":72.32,"TwitterURLCorpus":85.98}
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@@ -101,8 +101,8 @@
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101 |
{"index":160,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
102 |
{"index":252,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":83.58,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":70.34,"TwitterURLCorpus":85.72}
|
103 |
{"index":146,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":83.57,"SprintDuplicateQuestions":93.01,"TwitterSemEval2015":72.21,"TwitterURLCorpus":85.48}
|
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-
{"index":
|
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-
{"index":
|
106 |
{"index":135,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":83.51,"SprintDuplicateQuestions":90.35,"TwitterSemEval2015":73.99,"TwitterURLCorpus":86.2}
|
107 |
{"index":112,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":83.39,"SprintDuplicateQuestions":94.14,"TwitterSemEval2015":70.46,"TwitterURLCorpus":85.58}
|
108 |
{"index":68,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Ivysaur\">Ivysaur<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":83.32,"SprintDuplicateQuestions":95.12,"TwitterSemEval2015":69.78,"TwitterURLCorpus":85.07}
|
@@ -110,8 +110,8 @@
|
|
110 |
{"index":253,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-small-quant\">gte-small-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":83.09,"SprintDuplicateQuestions":95.49,"TwitterSemEval2015":68.61,"TwitterURLCorpus":85.16}
|
111 |
{"index":157,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":83.04,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.3,"TwitterURLCorpus":85.33}
|
112 |
{"index":213,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":83.04,"SprintDuplicateQuestions":90.15,"TwitterSemEval2015":73.85,"TwitterURLCorpus":85.11}
|
113 |
-
{"index":
|
114 |
-
{"index":
|
115 |
{"index":104,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":82.81,"SprintDuplicateQuestions":95.78,"TwitterSemEval2015":67.76,"TwitterURLCorpus":84.89}
|
116 |
{"index":67,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":82.69,"SprintDuplicateQuestions":95.35,"TwitterSemEval2015":67.97,"TwitterURLCorpus":84.75}
|
117 |
{"index":75,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Average":82.59,"SprintDuplicateQuestions":95.54,"TwitterSemEval2015":67.55,"TwitterURLCorpus":84.68}
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29 |
{"index":113,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":86.7,"SprintDuplicateQuestions":96.54,"TwitterSemEval2015":77.6,"TwitterURLCorpus":85.96}
|
30 |
{"index":137,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Average":86.62,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":77.99,"TwitterURLCorpus":86.93}
|
31 |
{"index":8,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":86.57,"SprintDuplicateQuestions":96.01,"TwitterSemEval2015":76.87,"TwitterURLCorpus":86.84}
|
32 |
+
{"index":167,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
33 |
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{"index":168,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
34 |
{"index":165,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
35 |
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{"index":20,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
36 |
{"index":166,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
37 |
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{"index":116,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65}
|
38 |
{"index":138,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Average":86.45,"SprintDuplicateQuestions":95.69,"TwitterSemEval2015":77.67,"TwitterURLCorpus":86.0}
|
39 |
{"index":111,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.32,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.11}
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40 |
{"index":183,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":86.24,"SprintDuplicateQuestions":96.38,"TwitterSemEval2015":76.41,"TwitterURLCorpus":85.93}
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46 |
{"index":228,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Average":86.06,"SprintDuplicateQuestions":91.44,"TwitterSemEval2015":80.89,"TwitterURLCorpus":85.86}
|
47 |
{"index":142,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
48 |
{"index":141,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":85.94,"SprintDuplicateQuestions":95.42,"TwitterSemEval2015":76.1,"TwitterURLCorpus":86.31}
|
49 |
+
{"index":136,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":85.89,"SprintDuplicateQuestions":93.07,"TwitterSemEval2015":77.42,"TwitterURLCorpus":87.18}
|
50 |
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{"index":179,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":85.89,"SprintDuplicateQuestions":96.05,"TwitterSemEval2015":76.08,"TwitterURLCorpus":85.54}
|
51 |
{"index":23,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":85.84,"SprintDuplicateQuestions":90.94,"TwitterSemEval2015":79.64,"TwitterURLCorpus":86.95}
|
52 |
{"index":34,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":85.84,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":74.8,"TwitterURLCorpus":86.46}
|
53 |
{"index":17,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Average":85.79,"SprintDuplicateQuestions":92.82,"TwitterSemEval2015":77.96,"TwitterURLCorpus":86.59}
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60 |
{"index":18,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.33,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":75.53,"TwitterURLCorpus":85.51}
|
61 |
{"index":219,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":85.32,"SprintDuplicateQuestions":95.05,"TwitterSemEval2015":76.03,"TwitterURLCorpus":84.89}
|
62 |
{"index":226,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":85.18,"SprintDuplicateQuestions":91.23,"TwitterSemEval2015":78.25,"TwitterURLCorpus":86.05}
|
63 |
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{"index":28,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.15,"SprintDuplicateQuestions":93.52,"TwitterSemEval2015":75.23,"TwitterURLCorpus":86.71}
|
64 |
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{"index":29,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.15,"SprintDuplicateQuestions":93.52,"TwitterSemEval2015":75.23,"TwitterURLCorpus":86.71}
|
65 |
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{"index":26,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.15,"SprintDuplicateQuestions":93.52,"TwitterSemEval2015":75.23,"TwitterURLCorpus":86.71}
|
66 |
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{"index":189,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.15,"SprintDuplicateQuestions":93.52,"TwitterSemEval2015":75.23,"TwitterURLCorpus":86.71}
|
67 |
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{"index":27,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.15,"SprintDuplicateQuestions":93.52,"TwitterSemEval2015":75.23,"TwitterURLCorpus":86.71}
|
68 |
{"index":139,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":85.09,"SprintDuplicateQuestions":94.88,"TwitterSemEval2015":74.4,"TwitterURLCorpus":85.98}
|
69 |
{"index":144,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":85.08,"SprintDuplicateQuestions":95.29,"TwitterSemEval2015":74.16,"TwitterURLCorpus":85.79}
|
70 |
{"index":186,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":85.06,"SprintDuplicateQuestions":95.0,"TwitterSemEval2015":74.5,"TwitterURLCorpus":85.69}
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74 |
{"index":267,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":85.04,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":73.33,"TwitterURLCorpus":87.21}
|
75 |
{"index":236,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":85.0,"SprintDuplicateQuestions":95.75,"TwitterSemEval2015":73.73,"TwitterURLCorpus":85.53}
|
76 |
{"index":115,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":84.99,"SprintDuplicateQuestions":96.14,"TwitterSemEval2015":73.48,"TwitterURLCorpus":85.36}
|
77 |
+
{"index":227,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":84.97,"SprintDuplicateQuestions":89.01,"TwitterSemEval2015":79.75,"TwitterURLCorpus":86.14}
|
78 |
+
{"index":43,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Average":84.97,"SprintDuplicateQuestions":91.24,"TwitterSemEval2015":77.21,"TwitterURLCorpus":86.45}
|
79 |
{"index":24,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":84.92,"SprintDuplicateQuestions":96.67,"TwitterSemEval2015":73.24,"TwitterURLCorpus":84.84}
|
80 |
{"index":264,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":84.89,"SprintDuplicateQuestions":92.17,"TwitterSemEval2015":75.28,"TwitterURLCorpus":87.22}
|
81 |
{"index":158,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":84.8,"SprintDuplicateQuestions":96.09,"TwitterSemEval2015":72.32,"TwitterURLCorpus":85.98}
|
|
|
101 |
{"index":160,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
102 |
{"index":252,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":83.58,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":70.34,"TwitterURLCorpus":85.72}
|
103 |
{"index":146,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":83.57,"SprintDuplicateQuestions":93.01,"TwitterSemEval2015":72.21,"TwitterURLCorpus":85.48}
|
104 |
+
{"index":237,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":83.54,"SprintDuplicateQuestions":95.57,"TwitterSemEval2015":70.12,"TwitterURLCorpus":84.92}
|
105 |
+
{"index":192,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":83.54,"SprintDuplicateQuestions":91.45,"TwitterSemEval2015":73.23,"TwitterURLCorpus":85.93}
|
106 |
{"index":135,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":83.51,"SprintDuplicateQuestions":90.35,"TwitterSemEval2015":73.99,"TwitterURLCorpus":86.2}
|
107 |
{"index":112,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":83.39,"SprintDuplicateQuestions":94.14,"TwitterSemEval2015":70.46,"TwitterURLCorpus":85.58}
|
108 |
{"index":68,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Ivysaur\">Ivysaur<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":83.32,"SprintDuplicateQuestions":95.12,"TwitterSemEval2015":69.78,"TwitterURLCorpus":85.07}
|
|
|
110 |
{"index":253,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-small-quant\">gte-small-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":83.09,"SprintDuplicateQuestions":95.49,"TwitterSemEval2015":68.61,"TwitterURLCorpus":85.16}
|
111 |
{"index":157,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":83.04,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.3,"TwitterURLCorpus":85.33}
|
112 |
{"index":213,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":83.04,"SprintDuplicateQuestions":90.15,"TwitterSemEval2015":73.85,"TwitterURLCorpus":85.11}
|
113 |
+
{"index":105,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":82.83,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.17,"TwitterURLCorpus":84.84}
|
114 |
+
{"index":245,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":82.83,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":71.07,"TwitterURLCorpus":84.4}
|
115 |
{"index":104,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":82.81,"SprintDuplicateQuestions":95.78,"TwitterSemEval2015":67.76,"TwitterURLCorpus":84.89}
|
116 |
{"index":67,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":82.69,"SprintDuplicateQuestions":95.35,"TwitterSemEval2015":67.97,"TwitterURLCorpus":84.75}
|
117 |
{"index":75,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Average":82.59,"SprintDuplicateQuestions":95.54,"TwitterSemEval2015":67.55,"TwitterURLCorpus":84.68}
|
boards_data/en/data_tasks/Reranking/default.jsonl
CHANGED
@@ -31,11 +31,11 @@
|
|
31 |
{"index":183,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.94,"AskUbuntuDupQuestions":62.39,"MindSmallReranking":31.89,"SciDocsRR":87.05,"StackOverflowDupQuestions":54.45}
|
32 |
{"index":179,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":58.94,"AskUbuntuDupQuestions":63.77,"MindSmallReranking":31.85,"SciDocsRR":86.98,"StackOverflowDupQuestions":53.16}
|
33 |
{"index":1,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">google-gecko.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Average":58.9,"AskUbuntuDupQuestions":64.4,"MindSmallReranking":33.07,"SciDocsRR":83.59,"StackOverflowDupQuestions":54.56}
|
34 |
-
{"index":
|
35 |
-
{"index":
|
36 |
-
{"index":
|
37 |
-
{"index":
|
38 |
-
{"index":
|
39 |
{"index":20,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
40 |
{"index":138,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Average":58.78,"AskUbuntuDupQuestions":62.72,"MindSmallReranking":31.91,"SciDocsRR":86.66,"StackOverflowDupQuestions":53.81}
|
41 |
{"index":235,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.61,"AskUbuntuDupQuestions":61.8,"MindSmallReranking":32.54,"SciDocsRR":87.08,"StackOverflowDupQuestions":53.01}
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@@ -48,8 +48,8 @@
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|
48 |
{"index":115,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":58.3,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.92,"SciDocsRR":86.18,"StackOverflowDupQuestions":52.96}
|
49 |
{"index":9,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Average":58.24,"AskUbuntuDupQuestions":63.24,"MindSmallReranking":31.48,"SciDocsRR":84.68,"StackOverflowDupQuestions":53.56}
|
50 |
{"index":164,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":58.14,"AskUbuntuDupQuestions":64.13,"MindSmallReranking":32.92,"SciDocsRR":83.68,"StackOverflowDupQuestions":51.84}
|
51 |
-
{"index":
|
52 |
-
{"index":
|
53 |
{"index":34,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.01,"AskUbuntuDupQuestions":61.7,"MindSmallReranking":32.67,"SciDocsRR":85.2,"StackOverflowDupQuestions":52.48}
|
54 |
{"index":265,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":57.99,"AskUbuntuDupQuestions":64.61,"MindSmallReranking":29.63,"SciDocsRR":84.25,"StackOverflowDupQuestions":53.46}
|
55 |
{"index":112,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":57.95,"AskUbuntuDupQuestions":62.97,"MindSmallReranking":31.31,"SciDocsRR":87.14,"StackOverflowDupQuestions":50.36}
|
@@ -84,11 +84,11 @@
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|
84 |
{"index":196,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
85 |
{"index":105,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":55.77,"AskUbuntuDupQuestions":59.83,"MindSmallReranking":32.06,"SciDocsRR":81.54,"StackOverflowDupQuestions":49.65}
|
86 |
{"index":139,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":55.7,"AskUbuntuDupQuestions":59.66,"MindSmallReranking":30.07,"SciDocsRR":82.9,"StackOverflowDupQuestions":50.15}
|
87 |
-
{"index":
|
88 |
-
{"index":
|
89 |
-
{"index":
|
90 |
-
{"index":
|
91 |
-
{"index":
|
92 |
{"index":118,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Average":55.65,"AskUbuntuDupQuestions":59.97,"MindSmallReranking":31.79,"SciDocsRR":79.77,"StackOverflowDupQuestions":51.07}
|
93 |
{"index":194,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":55.65,"AskUbuntuDupQuestions":61.6,"MindSmallReranking":30.34,"SciDocsRR":80.33,"StackOverflowDupQuestions":50.32}
|
94 |
{"index":170,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-0B6-embedding\">XLM-0B6-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":55.6,"AskUbuntuDupQuestions":61.11,"MindSmallReranking":28.83,"SciDocsRR":85.93,"StackOverflowDupQuestions":46.52}
|
|
|
31 |
{"index":183,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.94,"AskUbuntuDupQuestions":62.39,"MindSmallReranking":31.89,"SciDocsRR":87.05,"StackOverflowDupQuestions":54.45}
|
32 |
{"index":179,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":58.94,"AskUbuntuDupQuestions":63.77,"MindSmallReranking":31.85,"SciDocsRR":86.98,"StackOverflowDupQuestions":53.16}
|
33 |
{"index":1,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">google-gecko.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Average":58.9,"AskUbuntuDupQuestions":64.4,"MindSmallReranking":33.07,"SciDocsRR":83.59,"StackOverflowDupQuestions":54.56}
|
34 |
+
{"index":167,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
35 |
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{"index":116,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
36 |
+
{"index":166,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
37 |
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{"index":165,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
38 |
+
{"index":168,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
39 |
{"index":20,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
40 |
{"index":138,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Average":58.78,"AskUbuntuDupQuestions":62.72,"MindSmallReranking":31.91,"SciDocsRR":86.66,"StackOverflowDupQuestions":53.81}
|
41 |
{"index":235,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.61,"AskUbuntuDupQuestions":61.8,"MindSmallReranking":32.54,"SciDocsRR":87.08,"StackOverflowDupQuestions":53.01}
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48 |
{"index":115,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":58.3,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.92,"SciDocsRR":86.18,"StackOverflowDupQuestions":52.96}
|
49 |
{"index":9,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Average":58.24,"AskUbuntuDupQuestions":63.24,"MindSmallReranking":31.48,"SciDocsRR":84.68,"StackOverflowDupQuestions":53.56}
|
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{"index":164,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":58.14,"AskUbuntuDupQuestions":64.13,"MindSmallReranking":32.92,"SciDocsRR":83.68,"StackOverflowDupQuestions":51.84}
|
51 |
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{"index":212,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":58.04,"AskUbuntuDupQuestions":63.48,"MindSmallReranking":30.8,"SciDocsRR":87.12,"StackOverflowDupQuestions":50.76}
|
52 |
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{"index":178,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mgoin\/all-MiniLM-L6-v2-ds\">all-MiniLM-L6-v2-ds<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.04,"AskUbuntuDupQuestions":63.48,"MindSmallReranking":30.8,"SciDocsRR":87.12,"StackOverflowDupQuestions":50.76}
|
53 |
{"index":34,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.01,"AskUbuntuDupQuestions":61.7,"MindSmallReranking":32.67,"SciDocsRR":85.2,"StackOverflowDupQuestions":52.48}
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{"index":112,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":57.95,"AskUbuntuDupQuestions":62.97,"MindSmallReranking":31.31,"SciDocsRR":87.14,"StackOverflowDupQuestions":50.36}
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{"index":27,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
|
89 |
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{"index":28,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
|
90 |
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{"index":189,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
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{"index":29,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
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{"index":194,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":55.65,"AskUbuntuDupQuestions":61.6,"MindSmallReranking":30.34,"SciDocsRR":80.33,"StackOverflowDupQuestions":50.32}
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boards_data/en/data_tasks/Retrieval/default.jsonl
CHANGED
@@ -41,14 +41,14 @@
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41 |
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{"index":
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{"index":
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53 |
{"index":0,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">google-gecko-256.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Average":52.44,"ArguAna":56.27,"ClimateFEVER":29.35,"CQADupstackRetrieval":45.41,"DBPedia":41.91,"FEVER":82.61,"FiQA2018":55.54,"HotpotQA":64.65,"MSMARCO":31.12,"NFCorpus":37.81,"NQ":57.37,"QuoraRetrieval":87.89,"SCIDOCS":18.21,"SciFact":70.86,"Touche2020":27.4,"TRECCOVID":80.13}
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@@ -61,8 +61,8 @@
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61 |
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52 |
{"index":148,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":52.47,"ArguAna":58.38,"ClimateFEVER":29.86,"CQADupstackRetrieval":42.71,"DBPedia":38.36,"FEVER":77.99,"FiQA2018":47.71,"HotpotQA":69.32,"MSMARCO":40.43,"NFCorpus":35.53,"NQ":57.75,"QuoraRetrieval":89.15,"SCIDOCS":18.72,"SciFact":71.85,"Touche2020":27.25,"TRECCOVID":82.0}
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53 |
{"index":0,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">google-gecko-256.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Average":52.44,"ArguAna":56.27,"ClimateFEVER":29.35,"CQADupstackRetrieval":45.41,"DBPedia":41.91,"FEVER":82.61,"FiQA2018":55.54,"HotpotQA":64.65,"MSMARCO":31.12,"NFCorpus":37.81,"NQ":57.37,"QuoraRetrieval":87.89,"SCIDOCS":18.21,"SciFact":70.86,"Touche2020":27.4,"TRECCOVID":80.13}
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54 |
{"index":194,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":52.4,"ArguAna":47.45,"ClimateFEVER":40.7,"CQADupstackRetrieval":39.06,"DBPedia":42.96,"FEVER":85.7,"FiQA2018":36.92,"HotpotQA":71.48,"MSMARCO":42.29,"NFCorpus":33.31,"NQ":58.83,"QuoraRetrieval":87.87,"SCIDOCS":17.88,"SciFact":70.12,"Touche2020":29.24,"TRECCOVID":82.12}
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|
|
61 |
{"index":24,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":51.68,"ArguAna":59.55,"ClimateFEVER":31.84,"CQADupstackRetrieval":39.05,"DBPedia":40.03,"FEVER":86.64,"FiQA2018":40.34,"HotpotQA":69.94,"MSMARCO":40.83,"NFCorpus":34.3,"NQ":50.18,"QuoraRetrieval":88.78,"SCIDOCS":20.52,"SciFact":71.28,"Touche2020":26.04,"TRECCOVID":75.9}
|
62 |
{"index":265,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":51.66,"ArguAna":55.6,"ClimateFEVER":25.8,"CQADupstackRetrieval":42.28,"DBPedia":40.8,"FEVER":84.57,"FiQA2018":50.33,"HotpotQA":62.69,"MSMARCO":37.93,"NFCorpus":37.94,"NQ":56.64,"QuoraRetrieval":88.22,"SCIDOCS":20.44,"SciFact":73.1,"Touche2020":22.31,"TRECCOVID":76.24}
|
63 |
{"index":65,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Average":51.44,"ArguAna":51.66,"ClimateFEVER":33.49,"CQADupstackRetrieval":41.73,"DBPedia":43.58,"FEVER":86.81,"FiQA2018":41.0,"HotpotQA":63.85,"MSMARCO":38.32,"NFCorpus":37.12,"NQ":53.89,"QuoraRetrieval":87.37,"SCIDOCS":17.96,"SciFact":72.08,"Touche2020":22.31,"TRECCOVID":80.41}
|
64 |
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{"index":190,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":51.43,"ArguAna":54.66,"ClimateFEVER":27.01,"CQADupstackRetrieval":38.47,"DBPedia":42.07,"FEVER":77.32,"FiQA2018":39.02,"HotpotQA":64.12,"MSMARCO":43.33,"NFCorpus":35.31,"NQ":61.43,"QuoraRetrieval":88.33,"SCIDOCS":18.7,"SciFact":71.51,"Touche2020":27.86,"TRECCOVID":82.31}
|
65 |
+
{"index":147,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":51.43,"ArguAna":54.38,"ClimateFEVER":25.73,"CQADupstackRetrieval":39.68,"DBPedia":41.29,"FEVER":82.81,"FiQA2018":43.8,"HotpotQA":71.23,"MSMARCO":43.7,"NFCorpus":33.99,"NQ":64.06,"QuoraRetrieval":88.18,"SCIDOCS":17.47,"SciFact":70.41,"Touche2020":23.39,"TRECCOVID":71.33}
|
66 |
{"index":179,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":51.42,"ArguAna":63.63,"ClimateFEVER":30.73,"CQADupstackRetrieval":39.46,"DBPedia":40.74,"FEVER":82.24,"FiQA2018":41.75,"HotpotQA":63.0,"MSMARCO":38.03,"NFCorpus":37.35,"NQ":54.84,"QuoraRetrieval":88.14,"SCIDOCS":22.78,"SciFact":74.12,"Touche2020":25.89,"TRECCOVID":68.64}
|
67 |
{"index":33,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":51.34,"ArguAna":50.81,"ClimateFEVER":28.9,"CQADupstackRetrieval":38.89,"DBPedia":41.03,"FEVER":87.64,"FiQA2018":38.83,"HotpotQA":66.79,"MSMARCO":41.33,"NFCorpus":33.65,"NQ":57.99,"QuoraRetrieval":88.11,"SCIDOCS":18.1,"SciFact":66.69,"Touche2020":31.93,"TRECCOVID":79.36}
|
68 |
{"index":109,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/amazon\/Titan-text-embeddings-v2\">Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":51.31,"ArguAna":51.31,"ClimateFEVER":22.76,"CQADupstackRetrieval":45.27,"DBPedia":36.95,"FEVER":88.17,"FiQA2018":44.8,"HotpotQA":64.15,"MSMARCO":38.0,"NFCorpus":33.94,"NQ":55.1,"QuoraRetrieval":88.41,"SCIDOCS":21.98,"SciFact":70.52,"Touche2020":27.48,"TRECCOVID":80.75}
|
boards_data/en/data_tasks/STS/default.jsonl
CHANGED
@@ -50,20 +50,20 @@
|
|
50 |
{"index":186,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.5,"BIOSSES":85.64,"SICK-R":80.74,"STS12":76.07,"STS13":86.81,"STS14":81.68,"STS15":88.75,"STS16":84.61,"STS17 (en-en)":89.75,"STS22 (en)":64.1,"STSBenchmark":86.88}
|
51 |
{"index":15,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Average":82.42,"BIOSSES":81.12,"SICK-R":79.15,"STS12":76.52,"STS13":88.63,"STS14":83.32,"STS15":87.5,"STS16":86.39,"STS17 (en-en)":87.79,"STS22 (en)":66.4,"STSBenchmark":87.35}
|
52 |
{"index":166,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
53 |
-
{"index":
|
54 |
-
{"index":
|
55 |
-
{"index":
|
56 |
{"index":165,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
57 |
-
{"index":
|
58 |
{"index":153,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Average":82.37,"BIOSSES":84.82,"SICK-R":80.85,"STS12":76.1,"STS13":85.49,"STS14":80.44,"STS15":87.75,"STS16":85.42,"STS17 (en-en)":89.95,"STS22 (en)":65.13,"STSBenchmark":87.71}
|
59 |
{"index":235,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":82.3,"BIOSSES":87.64,"SICK-R":78.86,"STS12":75.71,"STS13":85.73,"STS14":81.51,"STS15":88.81,"STS16":83.82,"STS17 (en-en)":87.9,"STS22 (en)":67.33,"STSBenchmark":85.73}
|
60 |
{"index":135,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":82.29,"BIOSSES":82.31,"SICK-R":80.26,"STS12":77.02,"STS13":86.58,"STS14":81.32,"STS15":88.19,"STS16":84.88,"STS17 (en-en)":89.46,"STS22 (en)":66.45,"STSBenchmark":86.43}
|
61 |
{"index":237,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":82.07,"BIOSSES":88.17,"SICK-R":77.93,"STS12":75.12,"STS13":85.09,"STS14":81.03,"STS15":88.32,"STS16":83.91,"STS17 (en-en)":87.59,"STS22 (en)":68.0,"STSBenchmark":85.57}
|
62 |
-
{"index":
|
63 |
-
{"index":
|
64 |
{"index":29,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
|
65 |
-
{"index":
|
66 |
-
{"index":
|
67 |
{"index":141,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":82.06,"BIOSSES":84.73,"SICK-R":80.49,"STS12":75.93,"STS13":85.22,"STS14":80.54,"STS15":88.81,"STS16":85.28,"STS17 (en-en)":89.37,"STS22 (en)":62.99,"STSBenchmark":87.21}
|
68 |
{"index":142,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":82.05,"BIOSSES":83.6,"SICK-R":79.28,"STS12":76.95,"STS13":84.12,"STS14":80.46,"STS15":89.76,"STS16":85.47,"STS17 (en-en)":89.03,"STS22 (en)":64.11,"STSBenchmark":87.74}
|
69 |
{"index":187,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.04,"BIOSSES":86.66,"SICK-R":79.44,"STS12":76.17,"STS13":84.15,"STS14":81.49,"STS15":88.11,"STS16":84.99,"STS17 (en-en)":87.98,"STS22 (en)":65.07,"STSBenchmark":86.31}
|
@@ -89,8 +89,8 @@
|
|
89 |
{"index":128,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Average":81.05,"BIOSSES":81.4,"SICK-R":78.3,"STS12":75.79,"STS13":83.58,"STS14":79.95,"STS15":88.82,"STS16":84.46,"STS17 (en-en)":87.58,"STS22 (en)":64.07,"STSBenchmark":86.52}
|
90 |
{"index":265,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":81.04,"BIOSSES":84.87,"SICK-R":79.18,"STS12":71.98,"STS13":85.52,"STS14":80.5,"STS15":87.51,"STS16":84.48,"STS17 (en-en)":88.11,"STS22 (en)":65.92,"STSBenchmark":82.34}
|
91 |
{"index":264,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":80.97,"BIOSSES":86.35,"SICK-R":80.6,"STS12":69.8,"STS13":83.27,"STS14":76.09,"STS15":86.12,"STS16":85.96,"STS17 (en-en)":90.25,"STS22 (en)":68.12,"STSBenchmark":83.17}
|
92 |
-
{"index":
|
93 |
-
{"index":
|
94 |
{"index":33,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":80.92,"BIOSSES":81.72,"SICK-R":79.65,"STS12":72.6,"STS13":82.88,"STS14":79.74,"STS15":86.98,"STS16":84.41,"STS17 (en-en)":89.22,"STS22 (en)":65.42,"STSBenchmark":86.58}
|
95 |
{"index":144,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":80.87,"BIOSSES":84.22,"SICK-R":78.9,"STS12":75.19,"STS13":81.8,"STS14":78.48,"STS15":87.49,"STS16":84.58,"STS17 (en-en)":87.94,"STS22 (en)":63.76,"STSBenchmark":86.36}
|
96 |
{"index":191,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":80.84,"BIOSSES":87.19,"SICK-R":74.19,"STS12":73.22,"STS13":84.77,"STS14":79.99,"STS15":87.27,"STS16":82.31,"STS17 (en-en)":89.54,"STS22 (en)":65.93,"STSBenchmark":83.96}
|
@@ -109,8 +109,8 @@
|
|
109 |
{"index":124,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":80.17,"BIOSSES":75.32,"SICK-R":80.91,"STS12":76.98,"STS13":82.63,"STS14":77.84,"STS15":85.92,"STS16":80.68,"STS17 (en-en)":88.99,"STS22 (en)":68.26,"STSBenchmark":84.2}
|
110 |
{"index":35,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":80.09,"BIOSSES":84.01,"SICK-R":77.04,"STS12":73.22,"STS13":79.5,"STS14":76.96,"STS15":86.43,"STS16":84.33,"STS17 (en-en)":88.67,"STS22 (en)":65.31,"STSBenchmark":85.46}
|
111 |
{"index":163,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":80.0,"BIOSSES":80.52,"SICK-R":76.72,"STS12":73.66,"STS13":83.3,"STS14":79.17,"STS15":87.3,"STS16":83.6,"STS17 (en-en)":88.23,"STS22 (en)":63.46,"STSBenchmark":84.04}
|
112 |
-
{"index":
|
113 |
-
{"index":
|
114 |
{"index":68,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Ivysaur\">Ivysaur<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":79.89,"BIOSSES":87.32,"SICK-R":75.63,"STS12":68.58,"STS13":80.54,"STS14":77.63,"STS15":86.16,"STS16":82.82,"STS17 (en-en)":88.57,"STS22 (en)":67.39,"STSBenchmark":84.25}
|
115 |
{"index":211,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":79.84,"BIOSSES":83.57,"SICK-R":79.32,"STS12":73.08,"STS13":82.13,"STS14":76.73,"STS15":85.58,"STS16":80.23,"STS17 (en-en)":88.63,"STS22 (en)":66.0,"STSBenchmark":83.09}
|
116 |
{"index":195,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-64<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":79.79,"BIOSSES":77.18,"SICK-R":78.76,"STS12":77.3,"STS13":84.18,"STS14":79.37,"STS15":84.69,"STS16":83.36,"STS17 (en-en)":85.73,"STS22 (en)":63.83,"STSBenchmark":83.46}
|
|
|
50 |
{"index":186,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.5,"BIOSSES":85.64,"SICK-R":80.74,"STS12":76.07,"STS13":86.81,"STS14":81.68,"STS15":88.75,"STS16":84.61,"STS17 (en-en)":89.75,"STS22 (en)":64.1,"STSBenchmark":86.88}
|
51 |
{"index":15,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Average":82.42,"BIOSSES":81.12,"SICK-R":79.15,"STS12":76.52,"STS13":88.63,"STS14":83.32,"STS15":87.5,"STS16":86.39,"STS17 (en-en)":87.79,"STS22 (en)":66.4,"STSBenchmark":87.35}
|
52 |
{"index":166,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
53 |
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{"index":28,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
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{"index":189,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
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{"index":26,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
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109 |
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110 |
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112 |
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{"index":154,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":79.93,"BIOSSES":84.44,"SICK-R":78.53,"STS12":74.07,"STS13":81.81,"STS14":77.05,"STS15":84.61,"STS16":83.09,"STS17 (en-en)":89.15,"STS22 (en)":62.92,"STSBenchmark":83.63}
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113 |
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{"index":157,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":79.93,"BIOSSES":83.58,"SICK-R":79.14,"STS12":75.06,"STS13":80.86,"STS14":76.13,"STS15":85.55,"STS16":81.21,"STS17 (en-en)":88.98,"STS22 (en)":66.22,"STSBenchmark":82.57}
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116 |
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boards_data/en/data_tasks/Summarization/default.jsonl
CHANGED
@@ -17,63 +17,63 @@
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17 |
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18 |
{"index":161,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":31.6}
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19 |
{"index":225,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEval":31.57}
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25 |
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28 |
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29 |
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30 |
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31 |
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{"index":190,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":31.28}
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35 |
{"index":159,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-s-en-v1\">jina-embedding-s-en-v1<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"SummEval":31.25}
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{"index":
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38 |
{"index":112,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"SummEval":31.22}
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39 |
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41 |
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42 |
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{"index":
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43 |
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45 |
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47 |
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48 |
{"index":201,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/unsup-simcse-bert-base-uncased\">unsup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":31.15}
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49 |
{"index":114,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"SummEval":31.14}
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50 |
{"index":267,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":31.12}
|
51 |
{"index":152,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":31.1}
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52 |
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{"index":
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53 |
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54 |
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57 |
{"index":20,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"SummEval":31.07}
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58 |
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59 |
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61 |
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62 |
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63 |
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64 |
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65 |
{"index":36,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.99}
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66 |
{"index":57,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":30.98}
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67 |
{"index":8,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.97}
|
68 |
{"index":141,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.97}
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69 |
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{"index":
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70 |
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{"index":
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71 |
{"index":113,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.96}
|
72 |
{"index":61,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"SummEval":30.94}
|
73 |
{"index":19,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"SummEval":30.91}
|
74 |
{"index":111,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":30.87}
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75 |
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{"index":
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76 |
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{"index":
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77 |
{"index":202,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.83}
|
78 |
{"index":172,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.82}
|
79 |
{"index":212,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"SummEval":30.81}
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@@ -82,13 +82,13 @@
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|
82 |
{"index":21,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-en-icl\">bge-en-icl<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":30.77}
|
83 |
{"index":164,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":30.73}
|
84 |
{"index":191,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.72}
|
85 |
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{"index":
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86 |
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{"index":
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87 |
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{"index":
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88 |
{"index":224,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"SummEval":30.67}
|
89 |
{"index":221,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"SummEval":30.64}
|
90 |
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{"index":
|
91 |
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{"index":
|
92 |
{"index":115,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"SummEval":30.6}
|
93 |
{"index":245,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.57}
|
94 |
{"index":129,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.56}
|
@@ -111,18 +111,18 @@
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|
111 |
{"index":80,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-nli-bitfit\">SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEval":30.26}
|
112 |
{"index":170,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-0B6-embedding\">XLM-0B6-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.25}
|
113 |
{"index":220,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"SummEval":30.21}
|
114 |
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{"index":
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115 |
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{"index":
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116 |
{"index":34,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.18}
|
117 |
{"index":24,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"SummEval":30.12}
|
118 |
{"index":146,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEval":30.11}
|
119 |
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{"index":
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120 |
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{"index":
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121 |
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{"index":
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122 |
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{"index":
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123 |
{"index":28,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
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124 |
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{"index":
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125 |
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{"index":
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126 |
{"index":27,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
|
127 |
{"index":193,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEval":30.05}
|
128 |
{"index":65,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEval":30.01}
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@@ -134,8 +134,8 @@
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|
134 |
{"index":70,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Venusaur\">Venusaur<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"SummEval":29.91}
|
135 |
{"index":104,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":29.87}
|
136 |
{"index":162,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"SummEval":29.87}
|
137 |
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{"index":
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138 |
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{"index":
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139 |
{"index":110,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"SummEval":29.83}
|
140 |
{"index":117,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bert-base-uncased\">bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":29.82}
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141 |
{"index":43,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"SummEval":29.82}
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@@ -147,13 +147,13 @@
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147 |
{"index":227,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"SummEval":29.64}
|
148 |
{"index":192,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEval":29.59}
|
149 |
{"index":239,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/twadada\/tst\">tst<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.51}
|
150 |
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{"index":
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151 |
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{"index":
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152 |
{"index":105,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"SummEval":29.47}
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153 |
{"index":240,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-4\">universal-sentence-encoder-4<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.42}
|
154 |
{"index":77,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test25\">test25<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":29.33}
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155 |
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{"index":
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156 |
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{"index":
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157 |
{"index":241,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-large-5\">universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.01}
|
158 |
{"index":215,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_glove.6B.300d\">glove.6B.300d<\/a>","Model Size (Million Parameters)":120,"Memory Usage (GB, fp32)":0.45,"SummEval":28.87}
|
159 |
{"index":59,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"SummEval":28.49}
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17 |
{"index":156,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":31.61}
|
18 |
{"index":161,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":31.6}
|
19 |
{"index":225,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEval":31.57}
|
20 |
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{"index":160,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"SummEval":31.55}
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21 |
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{"index":179,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":31.55}
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22 |
{"index":126,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_1.5B_v5\">stella_en_1.5B_v5<\/a>","Model Size (Million Parameters)":1543,"Memory Usage (GB, fp32)":5.75,"SummEval":31.49}
|
23 |
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{"index":15,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"SummEval":31.46}
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{"index":82,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-msmarco-specb-bitfit\">SGPT-5.8B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"SummEval":31.46}
|
25 |
{"index":62,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse\">LLM2Vec-Meta-Llama-3-unsupervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"SummEval":31.45}
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26 |
{"index":143,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":31.4}
|
27 |
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{"index":144,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"SummEval":31.39}
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28 |
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{"index":226,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":31.39}
|
29 |
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{"index":60,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse\">LLM2Vec-Llama-2-unsupervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"SummEval":31.38}
|
30 |
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{"index":99,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":31.38}
|
31 |
{"index":17,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"SummEval":31.35}
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32 |
{"index":33,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":31.29}
|
33 |
{"index":190,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":31.28}
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34 |
{"index":68,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Ivysaur\">Ivysaur<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"SummEval":31.27}
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35 |
{"index":159,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-s-en-v1\">jina-embedding-s-en-v1<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"SummEval":31.25}
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36 |
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{"index":66,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse\">LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEval":31.23}
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37 |
+
{"index":44,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Hum-Works\/lodestone-base-4096-v1\">lodestone-base-4096-v1<\/a>","Model Size (Million Parameters)":69,"Memory Usage (GB, fp32)":0.26,"SummEval":31.23}
|
38 |
{"index":112,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"SummEval":31.22}
|
39 |
+
{"index":23,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"SummEval":31.2}
|
40 |
+
{"index":198,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"SummEval":31.2}
|
41 |
+
{"index":16,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"SummEval":31.17}
|
42 |
+
{"index":200,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/sup-simcse-bert-base-uncased\">sup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":31.17}
|
43 |
+
{"index":235,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":31.17}
|
44 |
+
{"index":18,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":31.17}
|
45 |
+
{"index":145,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"SummEval":31.16}
|
46 |
+
{"index":94,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":31.16}
|
47 |
{"index":103,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":31.16}
|
48 |
{"index":201,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/unsup-simcse-bert-base-uncased\">unsup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":31.15}
|
49 |
{"index":114,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"SummEval":31.14}
|
50 |
{"index":267,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":31.12}
|
51 |
{"index":152,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":31.1}
|
52 |
+
{"index":168,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":31.07}
|
53 |
+
{"index":166,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":31.07}
|
54 |
+
{"index":167,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":31.07}
|
55 |
+
{"index":116,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":31.07}
|
56 |
+
{"index":165,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":31.07}
|
57 |
{"index":20,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"SummEval":31.07}
|
58 |
+
{"index":125,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"SummEval":31.05}
|
59 |
+
{"index":210,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"SummEval":31.05}
|
60 |
+
{"index":268,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":31.03}
|
61 |
+
{"index":81,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"SummEval":31.03}
|
62 |
+
{"index":169,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":31.01}
|
63 |
+
{"index":9,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"SummEval":31.01}
|
64 |
+
{"index":139,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":31.01}
|
65 |
{"index":36,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.99}
|
66 |
{"index":57,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":30.98}
|
67 |
{"index":8,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.97}
|
68 |
{"index":141,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.97}
|
69 |
+
{"index":155,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"SummEval":30.97}
|
70 |
+
{"index":67,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":30.97}
|
71 |
{"index":113,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.96}
|
72 |
{"index":61,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"SummEval":30.94}
|
73 |
{"index":19,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"SummEval":30.91}
|
74 |
{"index":111,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":30.87}
|
75 |
+
{"index":6,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.84}
|
76 |
+
{"index":97,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"SummEval":30.84}
|
77 |
{"index":202,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.83}
|
78 |
{"index":172,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.82}
|
79 |
{"index":212,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"SummEval":30.81}
|
|
|
82 |
{"index":21,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-en-icl\">bge-en-icl<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":30.77}
|
83 |
{"index":164,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":30.73}
|
84 |
{"index":191,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.72}
|
85 |
+
{"index":157,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":30.71}
|
86 |
+
{"index":71,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Wartortle\">Wartortle<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":30.71}
|
87 |
+
{"index":93,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":30.71}
|
88 |
{"index":224,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"SummEval":30.67}
|
89 |
{"index":221,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"SummEval":30.64}
|
90 |
+
{"index":153,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"SummEval":30.62}
|
91 |
+
{"index":95,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Shimin\/LLaMA-embeeding\">LLaMA-embeeding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.62}
|
92 |
{"index":115,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"SummEval":30.6}
|
93 |
{"index":245,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.57}
|
94 |
{"index":129,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.56}
|
|
|
111 |
{"index":80,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-nli-bitfit\">SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEval":30.26}
|
112 |
{"index":170,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-0B6-embedding\">XLM-0B6-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.25}
|
113 |
{"index":220,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"SummEval":30.21}
|
114 |
+
{"index":142,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.19}
|
115 |
+
{"index":64,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEval":30.19}
|
116 |
{"index":34,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.18}
|
117 |
{"index":24,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"SummEval":30.12}
|
118 |
{"index":146,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEval":30.11}
|
119 |
+
{"index":231,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-multilingual\">text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"SummEval":30.1}
|
120 |
+
{"index":102,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"SummEval":30.1}
|
121 |
+
{"index":229,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"SummEval":30.08}
|
122 |
+
{"index":189,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
|
123 |
{"index":28,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
|
124 |
+
{"index":26,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
|
125 |
+
{"index":29,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
|
126 |
{"index":27,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
|
127 |
{"index":193,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEval":30.05}
|
128 |
{"index":65,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEval":30.01}
|
|
|
134 |
{"index":70,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Venusaur\">Venusaur<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"SummEval":29.91}
|
135 |
{"index":104,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":29.87}
|
136 |
{"index":162,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"SummEval":29.87}
|
137 |
+
{"index":158,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":29.85}
|
138 |
+
{"index":135,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":29.85}
|
139 |
{"index":110,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"SummEval":29.83}
|
140 |
{"index":117,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bert-base-uncased\">bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":29.82}
|
141 |
{"index":43,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"SummEval":29.82}
|
|
|
147 |
{"index":227,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"SummEval":29.64}
|
148 |
{"index":192,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEval":29.59}
|
149 |
{"index":239,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/twadada\/tst\">tst<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.51}
|
150 |
+
{"index":222,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/msmarco-bert-co-condensor\">msmarco-bert-co-condensor<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":29.5}
|
151 |
+
{"index":219,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"SummEval":29.5}
|
152 |
{"index":105,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"SummEval":29.47}
|
153 |
{"index":240,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-4\">universal-sentence-encoder-4<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.42}
|
154 |
{"index":77,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test25\">test25<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":29.33}
|
155 |
+
{"index":120,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-lunaris-text-embeddings\">cai-lunaris-text-embeddings<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":29.02}
|
156 |
+
{"index":171,"Rank":156,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.02}
|
157 |
{"index":241,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-large-5\">universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.01}
|
158 |
{"index":215,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_glove.6B.300d\">glove.6B.300d<\/a>","Model Size (Million Parameters)":120,"Memory Usage (GB, fp32)":0.45,"SummEval":28.87}
|
159 |
{"index":59,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"SummEval":28.49}
|
boards_data/fr/data_tasks/PairClassification/default.jsonl
CHANGED
@@ -46,8 +46,8 @@
|
|
46 |
{"index":40,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-uncased\">bert-base-multilingual-uncased<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":70.32,"OpusparcusPC (fr)":87.43,"PawsXPairClassification (fr)":53.22}
|
47 |
{"index":16,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.1,"OpusparcusPC (fr)":86.79,"PawsXPairClassification (fr)":53.4}
|
48 |
{"index":18,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.09,"OpusparcusPC (fr)":86.79,"PawsXPairClassification (fr)":53.39}
|
49 |
-
{"index":
|
50 |
-
{"index":
|
51 |
{"index":75,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-large\">xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":68.56,"OpusparcusPC (fr)":83.73,"PawsXPairClassification (fr)":53.38}
|
52 |
{"index":74,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Average":68.4,"OpusparcusPC (fr)":85.45,"PawsXPairClassification (fr)":51.35}
|
53 |
{"index":37,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_uncased\">flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":67.39,"OpusparcusPC (fr)":82.0,"PawsXPairClassification (fr)":52.78}
|
|
|
46 |
{"index":40,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-uncased\">bert-base-multilingual-uncased<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":70.32,"OpusparcusPC (fr)":87.43,"PawsXPairClassification (fr)":53.22}
|
47 |
{"index":16,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.1,"OpusparcusPC (fr)":86.79,"PawsXPairClassification (fr)":53.4}
|
48 |
{"index":18,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.09,"OpusparcusPC (fr)":86.79,"PawsXPairClassification (fr)":53.39}
|
49 |
+
{"index":17,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.08,"OpusparcusPC (fr)":86.78,"PawsXPairClassification (fr)":53.38}
|
50 |
+
{"index":39,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Average":70.08,"OpusparcusPC (fr)":86.77,"PawsXPairClassification (fr)":53.39}
|
51 |
{"index":75,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-large\">xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":68.56,"OpusparcusPC (fr)":83.73,"PawsXPairClassification (fr)":53.38}
|
52 |
{"index":74,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Average":68.4,"OpusparcusPC (fr)":85.45,"PawsXPairClassification (fr)":51.35}
|
53 |
{"index":37,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_uncased\">flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":67.39,"OpusparcusPC (fr)":82.0,"PawsXPairClassification (fr)":52.78}
|
boards_data/fr/data_tasks/Reranking/default.jsonl
CHANGED
@@ -46,8 +46,8 @@
|
|
46 |
{"index":36,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_cased\">flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":45.34,"AlloprofReranking":34.81,"SyntecReranking":55.88}
|
47 |
{"index":18,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":44.75,"AlloprofReranking":36.25,"SyntecReranking":53.25}
|
48 |
{"index":39,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Average":44.74,"AlloprofReranking":36.23,"SyntecReranking":53.25}
|
49 |
-
{"index":
|
50 |
-
{"index":
|
51 |
{"index":47,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":39.82,"AlloprofReranking":28.75,"SyntecReranking":50.88}
|
52 |
{"index":75,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-large\">xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":39.01,"AlloprofReranking":28.62,"SyntecReranking":49.4}
|
53 |
{"index":74,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Average":34.66,"AlloprofReranking":25.58,"SyntecReranking":43.75}
|
|
|
46 |
{"index":36,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_cased\">flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":45.34,"AlloprofReranking":34.81,"SyntecReranking":55.88}
|
47 |
{"index":18,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":44.75,"AlloprofReranking":36.25,"SyntecReranking":53.25}
|
48 |
{"index":39,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Average":44.74,"AlloprofReranking":36.23,"SyntecReranking":53.25}
|
49 |
+
{"index":16,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":44.73,"AlloprofReranking":36.21,"SyntecReranking":53.25}
|
50 |
+
{"index":17,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":44.73,"AlloprofReranking":36.21,"SyntecReranking":53.25}
|
51 |
{"index":47,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":39.82,"AlloprofReranking":28.75,"SyntecReranking":50.88}
|
52 |
{"index":75,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-large\">xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":39.01,"AlloprofReranking":28.62,"SyntecReranking":49.4}
|
53 |
{"index":74,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Average":34.66,"AlloprofReranking":25.58,"SyntecReranking":43.75}
|
boards_data/fr/data_tasks/Summarization/default.jsonl
CHANGED
@@ -8,9 +8,9 @@
|
|
8 |
{"index":0,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.47}
|
9 |
{"index":9,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"SummEvalFr":31.45}
|
10 |
{"index":14,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.4}
|
11 |
-
{"index":
|
12 |
-
{"index":
|
13 |
-
{"index":
|
14 |
{"index":43,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"SummEvalFr":30.92}
|
15 |
{"index":1,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":30.88}
|
16 |
{"index":34,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"SummEvalFr":30.88}
|
@@ -25,8 +25,8 @@
|
|
25 |
{"index":50,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.2\">sentence_croissant_alpha_v0.2<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.27}
|
26 |
{"index":66,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"SummEvalFr":30.23}
|
27 |
{"index":52,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.4\">sentence_croissant_alpha_v0.4<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.22}
|
28 |
-
{"index":
|
29 |
-
{"index":
|
30 |
{"index":48,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/bge-m3-custom-fr\">bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"SummEvalFr":30.13}
|
31 |
{"index":65,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEvalFr":30.01}
|
32 |
{"index":4,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":29.96}
|
|
|
8 |
{"index":0,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.47}
|
9 |
{"index":9,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"SummEvalFr":31.45}
|
10 |
{"index":14,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.4}
|
11 |
+
{"index":10,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"SummEvalFr":31.26}
|
12 |
+
{"index":36,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_cased\">flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":31.26}
|
13 |
+
{"index":15,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.26}
|
14 |
{"index":43,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"SummEvalFr":30.92}
|
15 |
{"index":1,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":30.88}
|
16 |
{"index":34,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"SummEvalFr":30.88}
|
|
|
25 |
{"index":50,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.2\">sentence_croissant_alpha_v0.2<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.27}
|
26 |
{"index":66,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"SummEvalFr":30.23}
|
27 |
{"index":52,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.4\">sentence_croissant_alpha_v0.4<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.22}
|
28 |
+
{"index":53,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"SummEvalFr":30.16}
|
29 |
+
{"index":20,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEvalFr":30.16}
|
30 |
{"index":48,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/bge-m3-custom-fr\">bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"SummEvalFr":30.13}
|
31 |
{"index":65,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEvalFr":30.01}
|
32 |
{"index":4,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":29.96}
|
boards_data/zh/data_overall/default.jsonl
CHANGED
@@ -29,8 +29,8 @@
|
|
29 |
{"index":51,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":64.25,"Classification Average (9 datasets)":68.21,"Clustering Average (4 datasets)":49.48,"PairClassification Average (2 datasets)":80.01,"Reranking Average (4 datasets)":65.89,"Retrieval Average (8 datasets)":69.59,"STS Average (8 datasets)":57.08}
|
30 |
{"index":157,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average (35 datasets)":64.16,"Classification Average (9 datasets)":67.77,"Clustering Average (4 datasets)":48.7,"PairClassification Average (2 datasets)":76.09,"Reranking Average (4 datasets)":66.95,"Retrieval Average (8 datasets)":71.07,"STS Average (8 datasets)":56.54}
|
31 |
{"index":234,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":64.11,"Classification Average (9 datasets)":67.03,"Clustering Average (4 datasets)":47.04,"PairClassification Average (2 datasets)":78.38,"Reranking Average (4 datasets)":65.98,"Retrieval Average (8 datasets)":70.93,"STS Average (8 datasets)":58.02}
|
32 |
-
{"index":
|
33 |
-
{"index":
|
34 |
{"index":233,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-base-zh\">piccolo-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":63.66,"Classification Average (9 datasets)":66.98,"Clustering Average (4 datasets)":47.12,"PairClassification Average (2 datasets)":76.61,"Reranking Average (4 datasets)":66.68,"Retrieval Average (8 datasets)":71.2,"STS Average (8 datasets)":55.9}
|
35 |
{"index":26,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-noinstruct\">bge-large-zh-noinstruct<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":63.4,"Classification Average (9 datasets)":68.58,"Clustering Average (4 datasets)":50.01,"PairClassification Average (2 datasets)":76.77,"Reranking Average (4 datasets)":64.9,"Retrieval Average (8 datasets)":70.54,"STS Average (8 datasets)":53.0}
|
36 |
{"index":23,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-zh-v1.5\">bge-base-zh-v1.5<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":63.13,"Classification Average (9 datasets)":68.07,"Clustering Average (4 datasets)":47.53,"PairClassification Average (2 datasets)":79.76,"Reranking Average (4 datasets)":65.4,"Retrieval Average (8 datasets)":69.49,"STS Average (8 datasets)":53.72}
|
|
|
29 |
{"index":51,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":64.25,"Classification Average (9 datasets)":68.21,"Clustering Average (4 datasets)":49.48,"PairClassification Average (2 datasets)":80.01,"Reranking Average (4 datasets)":65.89,"Retrieval Average (8 datasets)":69.59,"STS Average (8 datasets)":57.08}
|
30 |
{"index":157,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average (35 datasets)":64.16,"Classification Average (9 datasets)":67.77,"Clustering Average (4 datasets)":48.7,"PairClassification Average (2 datasets)":76.09,"Reranking Average (4 datasets)":66.95,"Retrieval Average (8 datasets)":71.07,"STS Average (8 datasets)":56.54}
|
31 |
{"index":234,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":64.11,"Classification Average (9 datasets)":67.03,"Clustering Average (4 datasets)":47.04,"PairClassification Average (2 datasets)":78.38,"Reranking Average (4 datasets)":65.98,"Retrieval Average (8 datasets)":70.93,"STS Average (8 datasets)":58.02}
|
32 |
+
{"index":184,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average (35 datasets)":63.79,"Classification Average (9 datasets)":64.94,"Clustering Average (4 datasets)":46.47,"PairClassification Average (2 datasets)":82.94,"Reranking Average (4 datasets)":66.57,"Retrieval Average (8 datasets)":69.4,"STS Average (8 datasets)":59.39}
|
33 |
+
{"index":262,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average (35 datasets)":63.79,"Classification Average (9 datasets)":64.94,"Clustering Average (4 datasets)":46.47,"PairClassification Average (2 datasets)":82.94,"Reranking Average (4 datasets)":66.57,"Retrieval Average (8 datasets)":69.4,"STS Average (8 datasets)":59.39}
|
34 |
{"index":233,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-base-zh\">piccolo-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":63.66,"Classification Average (9 datasets)":66.98,"Clustering Average (4 datasets)":47.12,"PairClassification Average (2 datasets)":76.61,"Reranking Average (4 datasets)":66.68,"Retrieval Average (8 datasets)":71.2,"STS Average (8 datasets)":55.9}
|
35 |
{"index":26,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-noinstruct\">bge-large-zh-noinstruct<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":63.4,"Classification Average (9 datasets)":68.58,"Clustering Average (4 datasets)":50.01,"PairClassification Average (2 datasets)":76.77,"Reranking Average (4 datasets)":64.9,"Retrieval Average (8 datasets)":70.54,"STS Average (8 datasets)":53.0}
|
36 |
{"index":23,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-zh-v1.5\">bge-base-zh-v1.5<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":63.13,"Classification Average (9 datasets)":68.07,"Clustering Average (4 datasets)":47.53,"PairClassification Average (2 datasets)":79.76,"Reranking Average (4 datasets)":65.4,"Retrieval Average (8 datasets)":69.49,"STS Average (8 datasets)":53.72}
|
boards_data/zh/data_tasks/Clustering/default.jsonl
CHANGED
@@ -50,8 +50,8 @@
|
|
50 |
{"index":261,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Average":44.39,"CLSClusteringP2P":37.01,"CLSClusteringS2S":33.46,"ThuNewsClusteringP2P":58.83,"ThuNewsClusteringS2S":48.26}
|
51 |
{"index":33,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Average":44.18,"CLSClusteringP2P":38.14,"CLSClusteringS2S":35.14,"ThuNewsClusteringP2P":54.22,"ThuNewsClusteringS2S":49.22}
|
52 |
{"index":174,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Average":43.24,"CLSClusteringP2P":36.73,"CLSClusteringS2S":36.45,"ThuNewsClusteringP2P":50.24,"ThuNewsClusteringS2S":49.54}
|
53 |
-
{"index":
|
54 |
-
{"index":
|
55 |
{"index":176,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Average":42.32,"CLSClusteringP2P":36.0,"CLSClusteringS2S":36.35,"ThuNewsClusteringP2P":49.19,"ThuNewsClusteringS2S":47.76}
|
56 |
{"index":169,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":40.68,"CLSClusteringP2P":32.41,"CLSClusteringS2S":36.99,"ThuNewsClusteringP2P":40.98,"ThuNewsClusteringS2S":52.36}
|
57 |
{"index":49,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":39.67,"CLSClusteringP2P":39.24,"CLSClusteringS2S":35.36,"ThuNewsClusteringP2P":47.3,"ThuNewsClusteringS2S":36.77}
|
|
|
50 |
{"index":261,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Average":44.39,"CLSClusteringP2P":37.01,"CLSClusteringS2S":33.46,"ThuNewsClusteringP2P":58.83,"ThuNewsClusteringS2S":48.26}
|
51 |
{"index":33,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Average":44.18,"CLSClusteringP2P":38.14,"CLSClusteringS2S":35.14,"ThuNewsClusteringP2P":54.22,"ThuNewsClusteringS2S":49.22}
|
52 |
{"index":174,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Average":43.24,"CLSClusteringP2P":36.73,"CLSClusteringS2S":36.45,"ThuNewsClusteringP2P":50.24,"ThuNewsClusteringS2S":49.54}
|
53 |
+
{"index":175,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":42.42,"CLSClusteringP2P":35.21,"CLSClusteringS2S":35.12,"ThuNewsClusteringP2P":51.03,"ThuNewsClusteringS2S":48.32}
|
54 |
+
{"index":173,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":42.42,"CLSClusteringP2P":35.36,"CLSClusteringS2S":37.07,"ThuNewsClusteringP2P":48.91,"ThuNewsClusteringS2S":48.34}
|
55 |
{"index":176,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Average":42.32,"CLSClusteringP2P":36.0,"CLSClusteringS2S":36.35,"ThuNewsClusteringP2P":49.19,"ThuNewsClusteringS2S":47.76}
|
56 |
{"index":169,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":40.68,"CLSClusteringP2P":32.41,"CLSClusteringS2S":36.99,"ThuNewsClusteringP2P":40.98,"ThuNewsClusteringS2S":52.36}
|
57 |
{"index":49,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":39.67,"CLSClusteringP2P":39.24,"CLSClusteringS2S":35.36,"ThuNewsClusteringP2P":47.3,"ThuNewsClusteringS2S":36.77}
|
boards_data/zh/data_tasks/PairClassification/default.jsonl
CHANGED
@@ -18,13 +18,13 @@
|
|
18 |
{"index":191,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":85.3,"Cmnli":89.95,"Ocnli":80.64}
|
19 |
{"index":268,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":84.41,"Cmnli":89.5,"Ocnli":79.32}
|
20 |
{"index":103,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":84.34,"Cmnli":89.36,"Ocnli":79.31}
|
21 |
-
{"index":
|
22 |
-
{"index":
|
23 |
{"index":161,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":82.68,"Cmnli":86.85,"Ocnli":78.51}
|
24 |
-
{"index":
|
25 |
-
{"index":
|
26 |
-
{"index":
|
27 |
-
{"index":
|
28 |
{"index":297,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.32,"Cmnli":85.31,"Ocnli":79.33}
|
29 |
{"index":27,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":81.6,"Cmnli":85.27,"Ocnli":77.94}
|
30 |
{"index":48,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":81.46,"Cmnli":85.92,"Ocnli":77.01}
|
|
|
18 |
{"index":191,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":85.3,"Cmnli":89.95,"Ocnli":80.64}
|
19 |
{"index":268,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":84.41,"Cmnli":89.5,"Ocnli":79.32}
|
20 |
{"index":103,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":84.34,"Cmnli":89.36,"Ocnli":79.31}
|
21 |
+
{"index":262,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
|
22 |
+
{"index":184,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
|
23 |
{"index":161,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":82.68,"Cmnli":86.85,"Ocnli":78.51}
|
24 |
+
{"index":20,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
|
25 |
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{"index":21,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
|
26 |
+
{"index":41,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.38,"Cmnli":87.55,"Ocnli":77.21}
|
27 |
+
{"index":40,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.38,"Cmnli":87.3,"Ocnli":77.46}
|
28 |
{"index":297,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.32,"Cmnli":85.31,"Ocnli":79.33}
|
29 |
{"index":27,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":81.6,"Cmnli":85.27,"Ocnli":77.94}
|
30 |
{"index":48,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":81.46,"Cmnli":85.92,"Ocnli":77.01}
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boards_data/zh/data_tasks/Reranking/default.jsonl
CHANGED
@@ -24,9 +24,9 @@
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|
24 |
{"index":268,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":67.4,"CMedQAv1":86.09,"CMedQAv2":86.46,"MMarcoReranking":31.19,"T2Reranking":65.86}
|
25 |
{"index":191,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":67.34,"CMedQAv1":87.12,"CMedQAv2":87.57,"MMarcoReranking":28.08,"T2Reranking":66.6}
|
26 |
{"index":46,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh\">Dmeta-embedding-zh<\/a>","Model Size (Million Parameters)":103,"Memory Usage (GB, fp32)":0.38,"Average":67.17,"CMedQAv1":88.49,"CMedQAv2":89.18,"MMarcoReranking":24.76,"T2Reranking":66.26}
|
27 |
-
{"index":
|
28 |
-
{"index":
|
29 |
-
{"index":
|
30 |
{"index":208,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neofung\/bge-reranker-base-1k\">bge-reranker-base-1k<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":67.02,"CMedQAv1":81.26,"CMedQAv2":84.11,"MMarcoReranking":35.46,"T2Reranking":67.25}
|
31 |
{"index":266,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base-zh\">gte-base-zh<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":67.0,"CMedQAv1":86.79,"CMedQAv2":87.2,"MMarcoReranking":27.64,"T2Reranking":66.36}
|
32 |
{"index":157,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":66.95,"CMedQAv1":85.69,"CMedQAv2":86.46,"MMarcoReranking":29.2,"T2Reranking":66.46}
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|
|
24 |
{"index":268,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":67.4,"CMedQAv1":86.09,"CMedQAv2":86.46,"MMarcoReranking":31.19,"T2Reranking":65.86}
|
25 |
{"index":191,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":67.34,"CMedQAv1":87.12,"CMedQAv2":87.57,"MMarcoReranking":28.08,"T2Reranking":66.6}
|
26 |
{"index":46,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh\">Dmeta-embedding-zh<\/a>","Model Size (Million Parameters)":103,"Memory Usage (GB, fp32)":0.38,"Average":67.17,"CMedQAv1":88.49,"CMedQAv2":89.18,"MMarcoReranking":24.76,"T2Reranking":66.26}
|
27 |
+
{"index":31,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-reranker-large\">bge-reranker-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":67.03,"CMedQAv1":81.27,"CMedQAv2":84.1,"MMarcoReranking":35.46,"T2Reranking":67.28}
|
28 |
+
{"index":30,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-reranker-base\">bge-reranker-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":67.03,"CMedQAv1":81.27,"CMedQAv2":84.1,"MMarcoReranking":35.46,"T2Reranking":67.28}
|
29 |
+
{"index":136,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/corto-ai\/bge-reranker-large-onnx\">bge-reranker-large-onnx<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":67.03,"CMedQAv1":81.27,"CMedQAv2":84.1,"MMarcoReranking":35.46,"T2Reranking":67.28}
|
30 |
{"index":208,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neofung\/bge-reranker-base-1k\">bge-reranker-base-1k<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":67.02,"CMedQAv1":81.26,"CMedQAv2":84.11,"MMarcoReranking":35.46,"T2Reranking":67.25}
|
31 |
{"index":266,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base-zh\">gte-base-zh<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":67.0,"CMedQAv1":86.79,"CMedQAv2":87.2,"MMarcoReranking":27.64,"T2Reranking":66.36}
|
32 |
{"index":157,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":66.95,"CMedQAv1":85.69,"CMedQAv2":86.46,"MMarcoReranking":29.2,"T2Reranking":66.46}
|
boards_data/zh/data_tasks/Retrieval/default.jsonl
CHANGED
@@ -16,8 +16,8 @@
|
|
16 |
{"index":103,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":73.3,"CmedqaRetrieval":43.93,"CovidRetrieval":88.14,"DuRetrieval":86.23,"EcomRetrieval":67.56,"MedicalRetrieval":63.57,"MMarcoRetrieval":78.25,"T2Retrieval":84.58,"VideoRetrieval":74.16}
|
17 |
{"index":297,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":73.12,"CmedqaRetrieval":47.64,"CovidRetrieval":86.86,"DuRetrieval":88.43,"EcomRetrieval":66.39,"MedicalRetrieval":61.1,"MMarcoRetrieval":80.17,"T2Retrieval":80.11,"VideoRetrieval":74.28}
|
18 |
{"index":124,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":72.93,"CmedqaRetrieval":46.78,"CovidRetrieval":81.56,"DuRetrieval":86.55,"EcomRetrieval":67.6,"MedicalRetrieval":64.1,"MMarcoRetrieval":78.42,"T2Retrieval":85.08,"VideoRetrieval":73.32}
|
19 |
-
{"index":
|
20 |
-
{"index":
|
21 |
{"index":268,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":72.49,"CmedqaRetrieval":43.15,"CovidRetrieval":88.41,"DuRetrieval":85.04,"EcomRetrieval":67.25,"MedicalRetrieval":62.88,"MMarcoRetrieval":77.53,"T2Retrieval":81.93,"VideoRetrieval":73.7}
|
22 |
{"index":159,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":72.28,"CmedqaRetrieval":45.38,"CovidRetrieval":80.61,"DuRetrieval":85.55,"EcomRetrieval":67.88,"MedicalRetrieval":64.34,"MMarcoRetrieval":77.42,"T2Retrieval":84.5,"VideoRetrieval":72.56}
|
23 |
{"index":16,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Average":71.86,"CmedqaRetrieval":46.97,"CovidRetrieval":80.79,"DuRetrieval":89.4,"EcomRetrieval":62.51,"MedicalRetrieval":58.65,"MMarcoRetrieval":83.01,"T2Retrieval":85.47,"VideoRetrieval":68.11}
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@@ -27,8 +27,8 @@
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|
27 |
{"index":157,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":71.07,"CmedqaRetrieval":41.86,"CovidRetrieval":84.71,"DuRetrieval":87.8,"EcomRetrieval":62.46,"MedicalRetrieval":57.97,"MMarcoRetrieval":78.22,"T2Retrieval":82.51,"VideoRetrieval":73.04}
|
28 |
{"index":160,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":71.02,"CmedqaRetrieval":42.28,"CovidRetrieval":85.19,"DuRetrieval":87.81,"EcomRetrieval":61.66,"MedicalRetrieval":59.38,"MMarcoRetrieval":78.1,"T2Retrieval":82.76,"VideoRetrieval":70.96}
|
29 |
{"index":234,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":70.93,"CmedqaRetrieval":41.98,"CovidRetrieval":85.04,"DuRetrieval":87.97,"EcomRetrieval":61.91,"MedicalRetrieval":59.04,"MMarcoRetrieval":77.83,"T2Retrieval":82.47,"VideoRetrieval":71.18}
|
30 |
-
{"index":
|
31 |
-
{"index":
|
32 |
{"index":15,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Average":70.62,"CmedqaRetrieval":43.47,"CovidRetrieval":80.87,"DuRetrieval":86.01,"EcomRetrieval":66.46,"MedicalRetrieval":61.33,"MMarcoRetrieval":73.83,"T2Retrieval":83.58,"VideoRetrieval":69.41}
|
33 |
{"index":26,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-noinstruct\">bge-large-zh-noinstruct<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":70.54,"CmedqaRetrieval":41.03,"CovidRetrieval":75.07,"DuRetrieval":84.68,"EcomRetrieval":65.6,"MedicalRetrieval":58.28,"MMarcoRetrieval":81.38,"T2Retrieval":84.39,"VideoRetrieval":73.93}
|
34 |
{"index":27,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":70.46,"CmedqaRetrieval":42.57,"CovidRetrieval":73.35,"DuRetrieval":86.32,"EcomRetrieval":65.33,"MedicalRetrieval":59.59,"MMarcoRetrieval":79.23,"T2Retrieval":83.99,"VideoRetrieval":73.32}
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|
16 |
{"index":103,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":73.3,"CmedqaRetrieval":43.93,"CovidRetrieval":88.14,"DuRetrieval":86.23,"EcomRetrieval":67.56,"MedicalRetrieval":63.57,"MMarcoRetrieval":78.25,"T2Retrieval":84.58,"VideoRetrieval":74.16}
|
17 |
{"index":297,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":73.12,"CmedqaRetrieval":47.64,"CovidRetrieval":86.86,"DuRetrieval":88.43,"EcomRetrieval":66.39,"MedicalRetrieval":61.1,"MMarcoRetrieval":80.17,"T2Retrieval":80.11,"VideoRetrieval":74.28}
|
18 |
{"index":124,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":72.93,"CmedqaRetrieval":46.78,"CovidRetrieval":81.56,"DuRetrieval":86.55,"EcomRetrieval":67.6,"MedicalRetrieval":64.1,"MMarcoRetrieval":78.42,"T2Retrieval":85.08,"VideoRetrieval":73.32}
|
19 |
+
{"index":280,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":72.92,"CmedqaRetrieval":43.58,"CovidRetrieval":85.83,"DuRetrieval":86.2,"EcomRetrieval":66.99,"MedicalRetrieval":64.23,"MMarcoRetrieval":77.69,"T2Retrieval":84.94,"VideoRetrieval":73.86}
|
20 |
+
{"index":121,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/akarum\/cloudy-large-zh\">cloudy-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":72.92,"CmedqaRetrieval":43.58,"CovidRetrieval":85.83,"DuRetrieval":86.2,"EcomRetrieval":66.99,"MedicalRetrieval":64.23,"MMarcoRetrieval":77.69,"T2Retrieval":84.94,"VideoRetrieval":73.86}
|
21 |
{"index":268,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":72.49,"CmedqaRetrieval":43.15,"CovidRetrieval":88.41,"DuRetrieval":85.04,"EcomRetrieval":67.25,"MedicalRetrieval":62.88,"MMarcoRetrieval":77.53,"T2Retrieval":81.93,"VideoRetrieval":73.7}
|
22 |
{"index":159,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":72.28,"CmedqaRetrieval":45.38,"CovidRetrieval":80.61,"DuRetrieval":85.55,"EcomRetrieval":67.88,"MedicalRetrieval":64.34,"MMarcoRetrieval":77.42,"T2Retrieval":84.5,"VideoRetrieval":72.56}
|
23 |
{"index":16,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Average":71.86,"CmedqaRetrieval":46.97,"CovidRetrieval":80.79,"DuRetrieval":89.4,"EcomRetrieval":62.51,"MedicalRetrieval":58.65,"MMarcoRetrieval":83.01,"T2Retrieval":85.47,"VideoRetrieval":68.11}
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27 |
{"index":157,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":71.07,"CmedqaRetrieval":41.86,"CovidRetrieval":84.71,"DuRetrieval":87.8,"EcomRetrieval":62.46,"MedicalRetrieval":57.97,"MMarcoRetrieval":78.22,"T2Retrieval":82.51,"VideoRetrieval":73.04}
|
28 |
{"index":160,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":71.02,"CmedqaRetrieval":42.28,"CovidRetrieval":85.19,"DuRetrieval":87.81,"EcomRetrieval":61.66,"MedicalRetrieval":59.38,"MMarcoRetrieval":78.1,"T2Retrieval":82.76,"VideoRetrieval":70.96}
|
29 |
{"index":234,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":70.93,"CmedqaRetrieval":41.98,"CovidRetrieval":85.04,"DuRetrieval":87.97,"EcomRetrieval":61.91,"MedicalRetrieval":59.04,"MMarcoRetrieval":77.83,"T2Retrieval":82.47,"VideoRetrieval":71.18}
|
30 |
+
{"index":227,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pengql\/checkpoint-9000\">checkpoint-9000<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":70.63,"CmedqaRetrieval":40.57,"CovidRetrieval":75.93,"DuRetrieval":83.73,"EcomRetrieval":66.14,"MedicalRetrieval":58.58,"MMarcoRetrieval":81.95,"T2Retrieval":84.17,"VideoRetrieval":73.94}
|
31 |
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{"index":95,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NLPArtisan\/qwen-1.8b-retrieval-test\">qwen-1.8b-retrieval-test<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":70.63,"CmedqaRetrieval":40.57,"CovidRetrieval":75.93,"DuRetrieval":83.73,"EcomRetrieval":66.14,"MedicalRetrieval":58.58,"MMarcoRetrieval":81.95,"T2Retrieval":84.17,"VideoRetrieval":73.94}
|
32 |
{"index":15,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Average":70.62,"CmedqaRetrieval":43.47,"CovidRetrieval":80.87,"DuRetrieval":86.01,"EcomRetrieval":66.46,"MedicalRetrieval":61.33,"MMarcoRetrieval":73.83,"T2Retrieval":83.58,"VideoRetrieval":69.41}
|
33 |
{"index":26,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-noinstruct\">bge-large-zh-noinstruct<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":70.54,"CmedqaRetrieval":41.03,"CovidRetrieval":75.07,"DuRetrieval":84.68,"EcomRetrieval":65.6,"MedicalRetrieval":58.28,"MMarcoRetrieval":81.38,"T2Retrieval":84.39,"VideoRetrieval":73.93}
|
34 |
{"index":27,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":70.46,"CmedqaRetrieval":42.57,"CovidRetrieval":73.35,"DuRetrieval":86.32,"EcomRetrieval":65.33,"MedicalRetrieval":59.59,"MMarcoRetrieval":79.23,"T2Retrieval":83.99,"VideoRetrieval":73.32}
|