硬件环境：昇腾910B

Exception:weight model.layers.0.self_attn.q_proj.bias does not exist 

Traceback (most recent call last): 

  File "/usr/local/lib/python3.11/site-packages/model_wrapper/model.py", line 57, in initialize 

    return self.python_model.initialize(config) 

           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 

  File "/usr/local/lib/python3.11/site-packages/model_wrapper/standard_model.py", line 117, in initialize 

    self.generator = Generator( 

                     ^^^^^^^^^^ 

  File "/usr/local/lib/python3.11/site-packages/mindie_llm/text_generator/generator.py", line 181, in __init__ 

    self.generator_backend = get_generator_backend(model_config) 

                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 

  File "/usr/local/lib/python3.11/site-packages/mindie_llm/text_generator/adapter/__init__.py", line 31, in get_generator_backend 

    return generator_cls(model_config) 

           ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 

  File "/usr/local/lib/python3.11/site-packages/mindie_llm/text_generator/adapter/generator_torch.py", line 121, in __init__ 

    super().__init__(model_config) 

  File "/usr/local/lib/python3.11/site-packages/mindie_llm/text_generator/adapter/generator_backend.py", line 134, in __init__ 

    self.model_wrapper = get_model_wrapper(model_config, backend_type) 

                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 

  File "/usr/local/lib/python3.11/site-packages/mindie_llm/modeling/model_wrapper/__init__.py", line 15, in get_model_wrapper 

    return wrapper_cls(**model_config) 

           ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 

  File "/usr/local/lib/python3.11/site-packages/mindie_llm/modeling/model_wrapper/atb/atb_model_wrapper.py", line 78, in __init__ 

    self.model_runner.load_weights() 

  File "/usr/local/Ascend/atb-models/atb_llm/runner/model_runner.py", line 203, in load_weights 

    self.model = self.model_cls(self.config, 

                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 

  File "/usr/local/Ascend/atb-models/atb_llm/models/qwen2/flash_causal_qwen2.py", line 47, in __init__ 

    self.transformer = FlashQwenModel( 

                       ^^^^^^^^^^^^^^^ 

  File "/usr/local/Ascend/atb-models/atb_llm/models/qwen2/modeling_qwen2.py", line 315, in __init__ 

    [ 

  File "/usr/local/Ascend/atb-models/atb_llm/models/qwen2/modeling_qwen2.py", line 316, in <listcomp> 

    FlashQwenLayer( 

  File "/usr/local/Ascend/atb-models/atb_llm/models/qwen2/modeling_qwen2.py", line 222, in __init__ 

    self.attn = FlashQwenAttention( 

                ^^^^^^^^^^^^^^^^^^^ 

  File "/usr/local/Ascend/atb-models/atb_llm/models/qwen2/modeling_qwen2.py", line 147, in __init__ 

    self.c_attn = load_column_multi( 

                  ^^^^^^^^^^^^^^^^^^ 

  File "/usr/local/Ascend/atb-models/atb_llm/utils/layers/__init__.py", line 50, in load_column_multi 

    b = [weights.get_sharded(f"{p}.bias", dim=0, gqa_size=head_size) for p in prefixes] 

        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 

  File "/usr/local/Ascend/atb-models/atb_llm/utils/layers/__init__.py", line 50, in <listcomp> 

    b = [weights.get_sharded(f"{p}.bias", dim=0, gqa_size=head_size) for p in prefixes] 

         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 

  File "/usr/local/Ascend/atb-models/atb_llm/utils/weights.py", line 343, in get_sharded 

    slice_ = self._get_slice(tensor_name) 

             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 

  File "/usr/local/Ascend/atb-models/atb_llm/utils/weights.py", line 812, in _get_slice 

    filename, tensor_name = self.get_filename(tensor_name) 

                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 

  File "/usr/local/Ascend/atb-models/atb_llm/utils/weights.py", line 158, in get_filename 

    raise AssertionError(f"weight {tensor_name} does not exist") 

AssertionError: weight model.layers.0.self_attn.q_proj.bias does not exist 

[2025-07-29 13:52:45.029+0800] [64727] [281472552333536] [batchscheduler] [ERROR] [model.py:62] : [MIE04E13030A] [Model]        >>> return initialize error result: {'status': 'error', 'npuBlockNum': '0', 'cpuBlockNum': '0', 'memPoolId': '-1'}