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Running
on
Zero
Running
on
Zero
# pyre-unsafe | |
""" | |
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 longvu import * # noqa | |
from .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) | |