| 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') |
|
|
