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{
"model": "Weni/ZeroShot-3.3.34-Mistral-7b-Multilanguage-3.3.0-merged-v2",
"base_model": "",
"revision": "main",
"private": false,
"precision": "4bit",
"params": 7.242,
"architectures": "MistralForCausalLM",
"weight_type": "Original",
"main_language": "Portuguese",
"status": "FAILED",
"submitted_time": "2024-04-09T02:54:08Z",
"model_type": "💬 : chat models (RLHF, DPO, IFT, ...)",
"source": "leaderboard",
"job_id": 463,
"job_start_time": "2024-04-15T05-22-25.576844",
"error_msg": "Supplied state dict for model.layers.0.mlp.down_proj.weight does not contain `bitsandbytes__*` and possibly other `quantized_stats` components.",
"traceback": "Traceback (most recent call last):\n File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 198, 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 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 3677, in from_pretrained\n ) = cls._load_pretrained_model(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/repos/llm_leaderboard/transformers/src/transformers/modeling_utils.py\", line 4104, in _load_pretrained_model\n new_error_msgs, offload_index, state_dict_index = _load_state_dict_into_meta_model(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/repos/llm_leaderboard/transformers/src/transformers/modeling_utils.py\", line 888, in _load_state_dict_into_meta_model\n hf_quantizer.create_quantized_param(model, param, param_name, param_device, state_dict, unexpected_keys)\n File \"/workspace/repos/llm_leaderboard/transformers/src/transformers/quantizers/quantizer_bnb_4bit.py\", line 196, in create_quantized_param\n raise ValueError(\nValueError: Supplied state dict for model.layers.0.mlp.down_proj.weight does not contain `bitsandbytes__*` and possibly other `quantized_stats` components.\n"
} |