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@ -38,13 +38,15 @@ def auto_configure_device_map(num_gpus: int) -> Dict[str, int]:
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def load_model_on_gpus(checkpoint_path: Union[str, os.PathLike], num_gpus: int = 2,
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def load_model_on_gpus(checkpoint_path: Union[str, os.PathLike], num_gpus: int = 2,
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multi_gpu_model_cache_dir: Union[str, os.PathLike] = "./temp_model_dir",
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multi_gpu_model_cache_dir: Union[str, os.PathLike] = "./temp_model_dir",
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device_map: Optional[Dict[str, int]] = None,
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tokenizer: Optional[PreTrainedTokenizer] = None, **kwargs) -> Module:
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tokenizer: Optional[PreTrainedTokenizer] = None, **kwargs) -> Module:
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from accelerate import load_checkpoint_and_dispatch
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from accelerate import load_checkpoint_and_dispatch
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model = AutoModel.from_pretrained(checkpoint_path, trust_remote_code=True, **kwargs)
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model = AutoModel.from_pretrained(checkpoint_path, trust_remote_code=True, **kwargs)
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model = model.eval()
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model = model.eval()
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device_map = auto_configure_device_map(num_gpus)
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if device_map is None:
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device_map = auto_configure_device_map(num_gpus)
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try:
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try:
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model = load_checkpoint_and_dispatch(
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model = load_checkpoint_and_dispatch(
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model, checkpoint_path, device_map=device_map, offload_folder="offload", offload_state_dict=True).half()
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model, checkpoint_path, device_map=device_map, offload_folder="offload", offload_state_dict=True).half()
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