forked from p04798526/LLaMA-Factory-Mirror
modify export model
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@ -15,11 +15,9 @@ from .pt import run_pt
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from .rm import run_rm
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from .sft import run_sft
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if TYPE_CHECKING:
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from transformers import TrainerCallback
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logger = get_logger(__name__)
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@ -52,7 +50,9 @@ def export_model(args: Optional[Dict[str, Any]] = None) -> None:
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if model_args.adapter_name_or_path is not None and model_args.export_quantization_bit is not None:
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raise ValueError("Please merge adapters before quantizing the model.")
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tokenizer = load_tokenizer(model_args)["tokenizer"]
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tokenizer_module = load_tokenizer(model_args)["tokenizer"]
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tokenizer = tokenizer_module['tokenizer']
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processor = tokenizer_module['processor']
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get_template_and_fix_tokenizer(tokenizer, data_args.template)
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model = load_model(tokenizer, model_args, finetuning_args) # must after fixing tokenizer to resize vocab
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@ -88,3 +88,6 @@ def export_model(args: Optional[Dict[str, Any]] = None) -> None:
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tokenizer.push_to_hub(model_args.export_hub_model_id, token=model_args.hf_hub_token)
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except Exception:
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logger.warning("Cannot save tokenizer, please copy the files manually.")
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if model_args.visual_inputs:
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processor.image_processor.save_pretrained(model_args.export_dir)
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