shenzhi-wang

/

Llama3-8B-Chinese-Chat

like 645

Running the demo code on MACOS, console print out:

/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/accelerate/utils/modeling.py:1363: UserWarning: Current model requires 113249664 bytes of buffer for offloaded layers, which seems does not fit any GPU's remaining memory. If you are experiencing a OOM later, please consider using offload_buffers=True.
  warnings.warn(
Loading checkpoint shards:   0%|                                                                                                                                 | 0/4 [00:00<?, ?it/s]
Traceback (most recent call last):
  File "/Users/randomyang/Llama3_demo/try.py", line 6, in <module>
    model = AutoModelForCausalLM.from_pretrained(
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py", line 563, in from_pretrained
    return model_class.from_pretrained(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/modeling_utils.py", line 3677, in from_pretrained
    ) = cls._load_pretrained_model(
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/modeling_utils.py", line 4104, in _load_pretrained_model
    new_error_msgs, offload_index, state_dict_index = _load_state_dict_into_meta_model(
                                                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/modeling_utils.py", line 886, in _load_state_dict_into_meta_model
    set_module_tensor_to_device(model, param_name, param_device, **set_module_kwargs)
  File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/accelerate/utils/modeling.py", line 399, in set_module_tensor_to_device
    new_value = value.to(device)
                ^^^^^^^^^^^^^^^^
TypeError: BFloat16 is not supported on MPS

OS info: