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Running
on
Zero
File size: 928 Bytes
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"""
Usage:
python3 -m llava.model.consolidate --src ~/model_weights/llava-7b --dst ~/model_weights/llava-7b_consolidate
"""
import argparse
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
from llava_llama3.model import *
from llava_llama3.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)
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