Qwen/Qwen1.5-MoE-A2.7B_eval_request_False_bfloat16_Original.json

{
    "model": "Qwen/Qwen1.5-MoE-A2.7B",
    "base_model": "",
    "revision": "main",
    "private": false,
    "precision": "bfloat16",
    "params": 14.316,
    "architectures": "Qwen2MoeForCausalLM",
    "weight_type": "Original",
    "main_language": "English",
    "status": "FAILED",
    "submitted_time": "2024-04-12T16:18:55Z",
    "model_type": "🟢 : pretrained",
    "source": "leaderboard",
    "job_id": 438,
    "job_start_time": "2024-04-13T15-49-43.143719",
    "error_msg": "The checkpoint you are trying to load has model type `qwen2_moe` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.",
    "traceback": "Traceback (most recent call last):\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/configuration_auto.py\", line 1155, in from_pretrained\n    config_class = CONFIG_MAPPING[config_dict[\"model_type\"]]\n                   ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/configuration_auto.py\", line 852, in __getitem__\n    raise KeyError(key)\nKeyError: 'qwen2_moe'\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 225, in wait_download_and_run_request\n    gc.collect()\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 65, 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 415, in _wrapper\n    f\"WARNING: using {fn.__name__} with positional arguments is \"\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 284, in __init__\n    self._get_config(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 537, in _get_config\n    self._config = transformers.AutoConfig.from_pretrained(\n                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/configuration_auto.py\", line 1157, in from_pretrained\n    raise ValueError(\nValueError: The checkpoint you are trying to load has model type `qwen2_moe` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.\n"
}