Add initial eval requests

.gitignore

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+scripts/

01-ai/Yi-1.5-9B_eval_request_False_bfloat16_Original.json

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+{"model": "01-ai/Yi-1.5-9B", "base_model": "", "revision": "main", "private": false, "precision": "bfloat16", "weight_type": "Original", "status": "FINISHED", "submitted_time": "2024-09-21T10:47:19Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 44, "params": 7.25, "license": "apache-2.0", "architecture": "LlamaForCausalLM", "sender": "mariagrandury"}

HiTZ/latxa-7b-v1.2_eval_request_False_bfloat16_Original.json

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+{"model": "HiTZ/latxa-7b-v1.2", "base_model": "", "revision": "main", "private": false, "precision": "bfloat16", "weight_type": "Original", "status": "FINISHED", "submitted_time": "2024-09-20T21:47:19Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 1, "params": 7.0, "license": "llama2", "architecture": "LlamaForCausalLM", "sender": "mariagrandury"}

bertin-project/bertin-gpt-j-6B_eval_request_False_float32_Original.json

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+{"model": "bertin-project/bertin-gpt-j-6B", "base_model": "", "revision": "main", "private": false, "precision": "float32", "weight_type": "Original", "status": "FINISHED", "submitted_time": "2024-09-21T08:47:19Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 17, "params": 6.0, "license": "apache-2.0", "architecture": "GPTJForCausalLM", "sender": "mariagrandury"}

demo-leaderboard/gpt2-demo_eval_request_False_float32_Original.json

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+{"model": "demo-leaderboard/gpt2-demo", "base_model": "", "revision": "ac3299b02780836378b9e1e68c6eead546e89f90", "private": false, "precision": "float32", "weight_type": "Original", "status": "FINISHED", "submitted_time": "2024-09-20T21:47:19Z", "model_type": "\ud83d\udfe2 : \ud83d\udfe2 : pretrained", "likes": 0, "params": 7.0, "license": "custom", "architecture": "", "sender": "mariagrandury"}

google/gemma-2-2b_eval_request_False_float32_Original.json

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+{"model": "google/gemma2-2b", "base_model": "", "revision": "main", "private": false, "precision": "float32", "weight_type": "Original", "status": "FINISHED", "submitted_time": "2024-09-20T21:47:19Z", "model_type": "\ud83d\udfe2 : \ud83d\udfe2 : pretrained", "likes": 342, "params": 2.61, "license": "gemma", "architecture": "Gemma2ForCausalLM", "sender": "mariagrandury"}

gplsi/Aitana-6.3B_eval_request_False_bfloat16_Original.json

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+{"model": "gplsi/Aitana-6.3B", "base_model": "", "revision": "main", "private": false, "precision": "bfloat16", "weight_type": "Original", "status": "FINISHED", "submitted_time": "2024-09-21T05:19:20Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 0, "params": 6.25, "license": "apache-2.0", "architecture": "BloomForCausalLM", "sender": "mariagrandury"}

meta-llama/Meta-Llama-3.1-8B_eval_request_False_bfloat16_Original.json

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+{"model": "meta-llama/Meta-Llama-3.1-8B", "base_model": "", "revision": "main", "private": false, "precision": "bfloat16", "weight_type": "Original", "status": "FINISHED", "submitted_time": "2024-09-21T09:47:19Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 877, "params": 8.03, "license": "llama3.1", "architecture": "LlamaForCausalLM", "sender": "mariagrandury"}

microsoft/phi-1_5_eval_request_False_float16_Original.json

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+{"model": "microsoft/phi-1_5", "base_model": "", "revision": "main", "private": false, "precision": "float16", "weight_type": "Original", "status": "FINISHED", "submitted_time": "2024-09-21T12:47:19Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 1310, "params": 1.42, "license": "mit", "architecture": "PhiForCausalLM", "sender": "mariagrandury"}

mistralai/Mistral-7B-v0.3_eval_request_False_bfloat16_Original.json

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+{"model": "mistralai/Mistral-7B-v0.3", "base_model": "", "revision": "main", "private": false, "precision": "bfloat16", "weight_type": "Original", "status": "FINISHED", "submitted_time": "2024-09-21T10:47:19Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 363, "params": 7.25, "license": "apache-2.0", "architecture": "MistralForCausalLM", "sender": "mariagrandury"}

occiglot/occiglot-7b-es-en_eval_request_False_float32_Original.json

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+{"model": "occiglot/occiglot-7b-es-en", "base_model": "", "revision": "main", "private": false, "precision": "float32", "weight_type": "Original", "status": "FINISHED", "submitted_time": "2024-09-21T03:47:19Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 4, "params": 7.24, "license": "apache-2.0", "architecture": "MistralForCausalLM", "sender": "mariagrandury"}

projecte-aina/FLOR-6.3B_eval_request_False_float16_Original.json

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+{"model": "projecte-aina/FLOR-6.3B", "base_model": "", "revision": "main", "private": false, "precision": "float16", "weight_type": "Original", "status": "FINISHED", "submitted_time": "2024-09-21T00:47:19Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 29, "params": 6.25, "license": "apache-2.0", "architecture": "BloomForCausalLM", "sender": "mariagrandury"}

projecte-aina/aguila-7b_eval_request_False_float16_Original.json

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+{"model": "projecte-aina/aguila-7b", "base_model": "", "revision": "main", "private": false, "precision": "float16", "weight_type": "Original", "status": "FINISHED", "submitted_time": "2024-09-25T14:39:00Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 54, "params": 6.85, "license": "apache-2.0", "architecture": "RWForCausalLM", "sender": "mariagrandury"}

proxectonos/Carballo-bloom-1.3B_eval_request_False_float16_Original.json

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+{"model": "proxectonos/Carballo-bloom-1.3B", "base_model": "", "revision": "main", "private": false, "precision": "float16", "weight_type": "Original", "status": "FINISHED", "submitted_time": "2024-09-20T22:47:19Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 5, "params": 1.31, "license": "mit", "architecture": "BloomForCausalLM", "sender": "mariagrandury"}

scripts/generate.py

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+import json
+import os
+from datetime import datetime
+
+import pandas as pd
+
+
+def generate_request(model_id, precision, model_type, params, index):
+    data = {
+        "model": model_id,
+        "base_model": "",
+        "revision": "main",
+        "private": False,
+        "precision": precision,
+        "weight_type": "Original",
+        "status": "FINISHED",
+        "submitted_time": (datetime.now() + pd.Timedelta(hours=index)).strftime(
+            "%Y-%m-%dT%H:%M:%SZ"
+        ),
+        "model_type": f"\ud83d\udfe2 : {model_type} if model_type == 'pretrained' else model_type",
+        "likes": 0,
+        "params": params,
+        "license": "custom",
+        "architecture": "",
+        "sender": "mariagrandury",
+    }
+
+    os.makedirs(f"{model_id}", exist_ok=True)
+    with open(f"{model_id}_eval_request_False_{precision}_Original.json", "w") as f:
+        json.dump(data, f)
+
+
+def generate_requests(selection: str):
+    df = pd.read_csv("scripts/models.csv")
+    df = df[["model_id", "precision", "model_type", "params", "iberobench"]]
+
+    if selection == "pretrained":
+        df = df[df["model_type"] == "pretrained"]
+    elif selection == "pretrained_new":
+        df = df[df["model_type"] == "pretrained"]
+        df = df[df["iberobench"] == False]
+    elif selection == "instruction":
+        df = df[df["model_type"] == "instruction-tuned"]
+
+    for index, row in df.iterrows():
+        model_id, precision, model_type, params, iberobench = row
+        generate_request(
+            model_id=model_id,
+            precision=precision,
+            model_type=model_type,
+            params=params,
+            index=index,
+        )
+
+
+if __name__ == "__main__":
+    import argparse
+
+    parser = argparse.ArgumentParser(description="Generate model requests.")
+    parser.add_argument("--pretrained", action="store_true")
+    parser.add_argument("--pretrained_new", action="store_true")
+    parser.add_argument("--instruction", action="store_true")
+    args = parser.parse_args()
+
+    if args.pretrained:
+        generate_requests("pretrained")
+    elif args.pretrained_new:
+        generate_requests("pretrained_new")
+    elif args.instruction:
+        generate_requests("instruction")
+    else:
+        generate_requests()

scripts/models.csv

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+status,model_id,model_url,iberobench,model_type,params,precision,gated,remote,avg,logs,error
+Not started,meta-llama/Meta-Llama-3.1-8B-Instruct,https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct,No,instruction-tuned,8.03,bfloat16,True,,,,
+Not started,mistralai/Mistral-7B-Instruct-v0.3,https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3,No,instruction-tuned,7.25,bfloat16,True,,,,
+Not started,google/gemma-2-2b-it,https://huggingface.co/google/gemma-2-2b-it,No,instruction-tuned,2.61,bfloat16,True,,,,"Model ""google/gemma-2-2b-it"" was not found on hub! 'gemma2’"
+Not started,google/gemma-2-9b-it,https://huggingface.co/google/gemma-2-9b-it,No,instruction-tuned,9.24,bfloat16,True,,,,
+In progress,google/gemma-2-2b,https://huggingface.co/google/gemma-2-2b,Yes,pretrained,2.61,float32,True,,,,
+In progress,google/gemma-2-9b,https://huggingface.co/google/gemma-2-9b,Yes,pretrained,9.24,float32,True,,,,
+Not started,microsoft/Phi-3.5-mini-instruct,https://huggingface.co/microsoft/Phi-3.5-mini-instruct,No,instruction-tuned,3.82,bfloat16,False,True,,,"Model ""microsoft/Phi-3.5-mini-instruct"" needs to be launched with `trust_remote_code=True`. For safety reason, we do not allow these models to be automatically submitted to the leaderboard."
+Not started,microsoft/Phi-3-small-128k-instruct,https://huggingface.co/microsoft/Phi-3-small-128k-instruct,No,instruction-tuned,7.39,bfloat16,False,True,,,
+Not started,tiiuae/falcon-7b-instruct,https://huggingface.co/tiiuae/falcon-7b-instruct,No,instruction-tuned,7,bfloat16,False,False,,,
+Not started,01-ai/Yi-1.5-9B-Chat,https://huggingface.co/01-ai/Yi-1.5-9B-Chat,No,instruction-tuned,8.83,bfloat16,False,False,,,
+Not started,internlm/internlm2_5-7b-chat,https://huggingface.co/internlm/internlm2_5-7b-chat,No,instruction-tuned,7.74,bfloat16,False,True,,,
+In progress,HiTZ/latxa-7b-v1.2,https://huggingface.co/HiTZ/latxa-7b-v1.2,Yes,pretrained,7,bfloat16,False,,,,
+In progress,proxectonos/Carballo-bloom-1.3B,https://huggingface.co/proxectonos/Carballo-bloom-1.3B,Yes,pretrained,1.31,float16,False,,,,"Model ""proxectonos/Carballo-bloom-1.3B"" 's tokenizer cannot be loaded. Is your tokenizer class in a stable transformers release, and correctly configured? unhashable type: 'dict'"
+Not started,projecte-aina/aguila-7b,https://huggingface.co/projecte-aina/aguila-7b,No,pretrained,6.85,float16,False,True,,,
+In progress,projecte-aina/FLOR-6.3B,https://huggingface.co/projecte-aina/FLOR-6.3B,Yes,pretrained,6.25,float16,True,,,,
+Not started,projecte-aina/FLOR-6.3B-Instructed,https://huggingface.co/projecte-aina/FLOR-6.3B-Instructed,No,instruction-tuned,6.25,float16,True,,,,
+Not started,gplsi/Aitana-6.3B,https://huggingface.co/gplsi/Aitana-6.3B,No,pretrained,6.25,bfloat16,False,,,,Eval error: 'ScalarNode' object is not callable
+In progress,occiglot/occiglot-7b-es-en,https://huggingface.co/occiglot/occiglot-7b-es-en,Yes,pretrained,7.24,float32,False,,,,
+Not started,occiglot/occiglot-7b-es-en-instruct,https://huggingface.co/occiglot/occiglot-7b-es-en-instruct,No,instruction-tuned,7.24,float32,False,,,,
+Not started,LenguajeNaturalAI/leniachat-gemma-2b-v0,https://huggingface.co/LenguajeNaturalAI/leniachat-gemma-2b-v0,No,instruction-tuned,2.51,bfloat16,False,,,,"Model ""LenguajeNaturalAI/leniachat-gemma-2b-v0"" was not found on hub! 'gemma'"
+Not started,LenguajeNaturalAI/leniachat-qwen2-1.5B-v0,https://huggingface.co/LenguajeNaturalAI/leniachat-qwen2-1.5B-v0,No,instruction-tuned,1.54,bfloat16,False,,,,"Model ""LenguajeNaturalAI/leniachat-qwen2-1.5B-v0"" was not found on hub! 'qwen2'"
+Not started,bertin-project/Gromenauer-7B-Instruct,https://huggingface.co/bertin-project/Gromenauer-7B-Instruct,No,instruction-tuned,7.24,float32,False,,,,
+Not started,bertin-project/bertin-gpt-j-6B,https://huggingface.co/bertin-project/bertin-gpt-j-6B,No,pretrained,6,float32,False,,,,
+In progress,meta-llama/Meta-Llama-3.1-8B,https://huggingface.co/meta-llama/Meta-Llama-3.1-8B,Yes,pretrained,8.03,bfloat16,True,,,,
+In progress,mistralai/Mistral-7B-v0.3,https://huggingface.co/mistralai/Mistral-7B-v0.3,Yes,pretrained,7.25,bfloat16,True,,,,
+Not started,01-ai/Yi-1.5-9B,https://huggingface.co/01-ai/Yi-1.5-9B,No,pretrained,8.83,bfloat16,False,,,,
+Not started,microsoft/phi-1_5,https://huggingface.co/microsoft/phi-1_5,No,pretrained,1.42,float16,False,,,,
+Not started,tiiuae/falcon-7b,https://huggingface.co/tiiuae/falcon-7b,No,pretrained,7,bfloat16,False,,,,

tiiuae/falcon-7b_eval_request_False_bfloat16_Original.json

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+{"model": "tiiuae/falcon-7b", "base_model": "", "revision": "main", "private": false, "precision": "bfloat16", "weight_type": "Original", "status": "FINISHED", "submitted_time": "2024-09-21T13:47:19Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 1070, "params": 7.0, "license": "apache-2.0", "architecture": "FalconForCausalLM", "sender": "mariagrandury"}