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# coding=utf-8
# Exports the fine-tuned model.
# Usage: python export_model.py --checkpoint_dir path_to_checkpoint --output_dir path_to_save_model
from utils import load_pretrained, prepare_args
def main():
model_args, _, training_args, finetuning_args = prepare_args(stage="sft")
model, tokenizer = load_pretrained(model_args, finetuning_args)
model.save_pretrained(training_args.output_dir, max_shard_size="10GB")
tokenizer.save_pretrained(training_args.output_dir)
print("model and tokenizer have been saved at:", training_args.output_dir)
if __name__ == "__main__":
main()
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