| import argparse | |
| from llava.model.builder import load_pretrained_model | |
| from llava.mm_utils import get_model_name_from_path | |
| def merge_lora(args): | |
| model_name = get_model_name_from_path(args.model_path) | |
| tokenizer, model, image_processor, context_len = load_pretrained_model(args.model_path, args.model_base, model_name, device_map='cpu') | |
| model.save_pretrained(args.save_model_path) | |
| tokenizer.save_pretrained(args.save_model_path) | |
| if __name__ == "__main__": | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--model-path", type=str, required=True) | |
| parser.add_argument("--model-base", type=str, required=True) | |
| parser.add_argument("--save-model-path", type=str, required=True) | |
| args = parser.parse_args() | |
| merge_lora(args) | |