{
    "model": "WizardLM/WizardLM-70B-V1.0",
    "base_model": "",
    "revision": "main",
    "private": false,
    "precision": "float16",
    "params": 70.0,
    "architectures": "LlamaForCausalLM",
    "weight_type": "Original",
    "status": "FAILED",
    "submitted_time": "2024-03-05T16:39:12Z",
    "model_type": "💬 : chat models (RLHF, DPO, IFT, ...)",
    "source": "leaderboard",
    "job_id": 495,
    "job_start_time": "2024-04-19T06-32-53.182410",
    "main_language": "English",
    "error_msg": "WizardLM/WizardLM-70B-V1.0 is not a local folder or a valid repository name on 'https://hf.co'.",
    "traceback": "Traceback (most recent call last):\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/huggingface_hub/utils/_errors.py\", line 286, in hf_raise_for_status\n    response.raise_for_status()\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/requests/models.py\", line 1021, in raise_for_status\n    raise HTTPError(http_error_msg, response=self)\nrequests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/WizardLM/WizardLM-70B-V1.0/resolve/main/model.safetensors.index.json\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/transformers/src/transformers/utils/hub.py\", line 629, in has_file\n    hf_raise_for_status(r)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/huggingface_hub/utils/_errors.py\", line 323, in hf_raise_for_status\n    raise RepositoryNotFoundError(message, response) from e\nhuggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-66221016-5e304ade0cfdef7e7a1e6794)\n\nRepository Not Found for url: https://huggingface.co/WizardLM/WizardLM-70B-V1.0/resolve/main/model.safetensors.index.json.\nPlease make sure you specified the correct `repo_id` and `repo_type`.\nIf you are trying to access a private or gated repo, make sure you are authenticated.\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 217, in wait_download_and_run_request\n    else:\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 69, in run_request\n    results = run_eval_on_model(\n              ^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/run_eval.py\", line 60, in run_eval_on_model\n    result = evaluate(\n             ^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/lm_eval_util.py\", line 145, in evaluate\n    results = evaluator.simple_evaluate(\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/utils.py\", line 419, in _wrapper\n    return fn(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/evaluator.py\", line 100, in simple_evaluate\n    lm = lm_eval.api.registry.get_model(model).create_from_arg_string(\n         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/api/model.py\", line 134, in create_from_arg_string\n    return cls(**args, **args2)\n           ^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 297, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 608, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/transformers/src/transformers/models/auto/auto_factory.py\", line 563, in from_pretrained\n    return model_class.from_pretrained(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/transformers/src/transformers/modeling_utils.py\", line 3370, in from_pretrained\n    if not has_file(pretrained_model_name_or_path, safe_weights_name, **has_file_kwargs):\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/transformers/src/transformers/utils/hub.py\", line 640, in has_file\n    raise EnvironmentError(f\"{path_or_repo} is not a local folder or a valid repository name on 'https://hf.co'.\")\nOSError: WizardLM/WizardLM-70B-V1.0 is not a local folder or a valid repository name on 'https://hf.co'.\n"
}