| import argparse | |
| import torch | |
| from internvl.model.internvl_chat import InternVLChatModel | |
| from transformers import AutoTokenizer | |
| argparse = argparse.ArgumentParser() | |
| argparse.add_argument('model_path', type=str, default='') | |
| argparse.add_argument('output_path', type=str, default='') | |
| argparse.add_argument('force_image_size', type=int, default=448) | |
| args = argparse.parse_args() | |
| model = InternVLChatModel.from_pretrained(args.model_path, torch_dtype=torch.bfloat16) | |
| model.vision_model.resize_pos_embeddings(old_size=model.config.vision_config.image_size, | |
| new_size=args.force_image_size, | |
| patch_size=14) | |
| model.config.vision_config.image_size = args.force_image_size | |
| model.config.force_image_size = args.force_image_size | |
| model.save_pretrained(args.output_path) | |
| tokenizer = AutoTokenizer.from_pretrained(args.model_path) | |
| tokenizer.save_pretrained(args.output_path) | |
| print('finished') | |