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https://github.com/hiyouga/LLaMA-Factory.git
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24 lines
790 B
Python
24 lines
790 B
Python
# coding=utf-8
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# Exports the fine-tuned model.
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# Usage: python export_model.py --checkpoint_dir path_to_checkpoint --output_dir path_to_save_model
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from transformers import HfArgumentParser, TrainingArguments
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from utils import ModelArguments, FinetuningArguments, load_pretrained
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def main():
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parser = HfArgumentParser((ModelArguments, TrainingArguments, FinetuningArguments))
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model_args, training_args, finetuning_args = parser.parse_args_into_dataclasses()
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model, tokenizer = load_pretrained(model_args, finetuning_args)
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model.save_pretrained(training_args.output_dir, max_shard_size="10GB")
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tokenizer.save_pretrained(training_args.output_dir)
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print("model and tokenizer have been saved at:", training_args.output_dir)
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if __name__ == "__main__":
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main()
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