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import argparse | |
import torch | |
from internvl.model.internvl_chat import InternVLChatModel | |
from transformers import AutoModel, AutoTokenizer | |
argparse = argparse.ArgumentParser() | |
argparse.add_argument('model_path', type=str, default='') | |
argparse.add_argument('llm_path', type=str, default='') | |
args = argparse.parse_args() | |
if args.model_path[-1] == '/': | |
args.model_path = args.model_path[:-1] | |
model = InternVLChatModel.from_pretrained(args.model_path, torch_dtype=torch.bfloat16) | |
llm = AutoModel.from_pretrained( | |
args.llm_path, trust_remote_code=True, torch_dtype=torch.bfloat16) | |
tokenizer = AutoTokenizer.from_pretrained( | |
args.llm_path, trust_remote_code=True) | |
model.language_model = llm | |
model.config.llm_config = llm.config | |
model.to(torch.bfloat16) | |
output_path = args.model_path + '_replace_llm' | |
model.save_pretrained(output_path) | |
tokenizer.save_pretrained(output_path) | |
print('finished') | |