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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (2024a101ec7ea230f6c8aa568f220579f8e356a0)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
CHANGED
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---
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base_model:
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- nbeerbower/llama-3-spicy-8B
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- nbeerbower/llama-3-stella-8B
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- saishf/Aura-Uncensored-OAS-8B-L3
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- cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2
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-
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-
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-
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---
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# llama-3-spicy-abliterated-stella-8B
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@@ -41,3 +144,17 @@ dtype: bfloat16
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```
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---
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+
license: llama3
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library_name: transformers
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tags:
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- mergekit
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- merge
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base_model:
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- nbeerbower/llama-3-spicy-8B
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- nbeerbower/llama-3-stella-8B
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- saishf/Aura-Uncensored-OAS-8B-L3
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- cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2
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model-index:
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- name: llama-3-spicy-abliterated-stella-8B
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 65.19
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 81.98
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 67.88
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 53.65
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 76.48
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 70.43
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
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name: Open LLM Leaderboard
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---
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# llama-3-spicy-abliterated-stella-8B
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_nbeerbower__llama-3-spicy-abliterated-stella-8B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |69.27|
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|AI2 Reasoning Challenge (25-Shot)|65.19|
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|HellaSwag (10-Shot) |81.98|
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|MMLU (5-Shot) |67.88|
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|TruthfulQA (0-shot) |53.65|
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|Winogrande (5-shot) |76.48|
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|GSM8k (5-shot) |70.43|
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