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{
"model": "BAAI/Aquila2-34B",
"base_model": "",
"revision": "main",
"private": false,
"precision": "bfloat16",
"params": 34.0,
"architectures": "LlamaForCausalLM",
"weight_type": "Original",
"status": "FAILED",
"submitted_time": "2024-02-05T23:10:17Z",
"model_type": "🟢 : pretrained",
"source": "script",
"job_id": 341,
"job_start_time": "2024-04-02T07-07-26.615695",
"error_msg": "Consistency check failed: file should be of size 9814920915 but has size 7945050153 (pytorch_model-00002-of-00007.bin).\nWe are sorry for the inconvenience. Please retry download and pass `force_download=True, resume_download=False` as argument.\nIf the issue persists, please let us know by opening an issue on https://github.com/huggingface/huggingface_hub.",
"traceback": "Traceback (most recent call last):\n File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 238, in wait_download_and_run_request\n run_request(\n File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 64, in run_request\n results = run_eval_on_model(\n ^^^^^^^^^^^^^^^^^^\n File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/run_eval.py\", line 55, 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 415, 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 \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 561, in from_pretrained\n return model_class.from_pretrained(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_utils.py\", line 3264, in from_pretrained\n resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 1038, in get_checkpoint_shard_files\n cached_filename = cached_file(\n ^^^^^^^^^^^^\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/utils/hub.py\", line 398, in cached_file\n resolved_file = hf_hub_download(\n ^^^^^^^^^^^^^^^^\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/huggingface_hub/utils/_validators.py\", line 118, in _inner_fn\n return fn(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/huggingface_hub/file_download.py\", line 1457, in hf_hub_download\n http_get(\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/huggingface_hub/file_download.py\", line 552, in http_get\n raise EnvironmentError(\nOSError: Consistency check failed: file should be of size 9814920915 but has size 7945050153 (pytorch_model-00002-of-00007.bin).\nWe are sorry for the inconvenience. Please retry download and pass `force_download=True, resume_download=False` as argument.\nIf the issue persists, please let us know by opening an issue on https://github.com/huggingface/huggingface_hub.\n",
"main_language": "?"
} |