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# Copyright (c) 2025 NVIDIA CORPORATION. | |
# Licensed under the MIT license. | |
# Adapted from https://github.com/NVlabs/VILA/tree/main under the Apache 2.0 license. | |
# LICENSE is in incl_licenses directory. | |
# Copyright 2024 NVIDIA CORPORATION & AFFILIATES | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
# | |
# SPDX-License-Identifier: Apache-2.0 | |
""" | |
Usage: | |
python3 -m llava.model.consolidate --src ~/model_weights/llava-7b --dst ~/model_weights/llava-7b_consolidate | |
""" | |
import argparse | |
import torch | |
from transformers import AutoModelForCausalLM, AutoTokenizer | |
from llava.model import * | |
from llava.model.utils import auto_upgrade | |
def consolidate_ckpt(src_path, dst_path): | |
print("Loading model") | |
auto_upgrade(src_path) | |
src_model = AutoModelForCausalLM.from_pretrained(src_path, torch_dtype=torch.float16, low_cpu_mem_usage=True) | |
src_tokenizer = AutoTokenizer.from_pretrained(src_path, use_fast=False) | |
src_model.save_pretrained(dst_path) | |
src_tokenizer.save_pretrained(dst_path) | |
if __name__ == "__main__": | |
parser = argparse.ArgumentParser() | |
parser.add_argument("--src", type=str, required=True) | |
parser.add_argument("--dst", type=str, required=True) | |
args = parser.parse_args() | |
consolidate_ckpt(args.src, args.dst) | |