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{
"model": "Weni/WeniGPT-QA-Zephyr-7B-4.0.2-KTO",
"base_model": "HuggingFaceH4/zephyr-7b-beta",
"revision": "main",
"private": false,
"precision": "bfloat16",
"params": 7.0,
"architectures": "?",
"weight_type": "Adapter",
"main_language": "Portuguese",
"status": "FAILED",
"submitted_time": "2024-04-09T02:55:53Z",
"model_type": "💬 : chat models (RLHF, DPO, IFT, ...)",
"source": "leaderboard",
"job_id": 446,
"job_start_time": "2024-04-14T03-34-47.129646",
"error_msg": "Error(s) in loading state_dict for PeftModelForCausalLM:\n\tsize mismatch for base_model.model.model.embed_tokens.weight: copying a param with shape torch.Size([32002, 4096]) from checkpoint, the shape in current model is torch.Size([32000, 4096]).\n\tsize mismatch for base_model.model.lm_head.weight: copying a param with shape torch.Size([32002, 4096]) from checkpoint, the shape in current model is torch.Size([32000, 4096]).",
"traceback": "Traceback (most recent call last):\n File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 196, in wait_download_and_run_request\n run_request(\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 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 637, in _create_model\n self._model = PeftModel.from_pretrained(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/peft/peft_model.py\", line 356, in from_pretrained\n model.load_adapter(model_id, adapter_name, is_trainable=is_trainable, **kwargs)\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/peft/peft_model.py\", line 730, in load_adapter\n load_result = set_peft_model_state_dict(self, adapters_weights, adapter_name=adapter_name)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/peft/utils/save_and_load.py\", line 249, in set_peft_model_state_dict\n load_result = model.load_state_dict(peft_model_state_dict, strict=False)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 2153, in load_state_dict\n raise RuntimeError('Error(s) in loading state_dict for {}:\\n\\t{}'.format(\nRuntimeError: Error(s) in loading state_dict for PeftModelForCausalLM:\n\tsize mismatch for base_model.model.model.embed_tokens.weight: copying a param with shape torch.Size([32002, 4096]) from checkpoint, the shape in current model is torch.Size([32000, 4096]).\n\tsize mismatch for base_model.model.lm_head.weight: copying a param with shape torch.Size([32002, 4096]) from checkpoint, the shape in current model is torch.Size([32000, 4096]).\n"
} |