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Runtime error
""" | |
Usage: | |
python3 -m llava.model.make_delta --base ~/model_weights/llama-7b --target ~/model_weights/llava-7b --delta ~/model_weights/llava-7b-delta --hub-repo-id liuhaotian/llava-7b-delta | |
""" | |
import argparse | |
import torch | |
from tqdm import tqdm | |
from transformers import AutoTokenizer, AutoModelForCausalLM | |
from llava.model.utils import auto_upgrade | |
def make_delta(base_model_path, target_model_path, delta_path, hub_repo_id): | |
print("Loading base model") | |
base = AutoModelForCausalLM.from_pretrained(base_model_path, torch_dtype=torch.float16, low_cpu_mem_usage=True) | |
print("Loading target model") | |
auto_upgrade(target_model_path) | |
target = AutoModelForCausalLM.from_pretrained(target_model_path, torch_dtype=torch.float16, low_cpu_mem_usage=True) | |
print("Calculating delta") | |
for name, param in tqdm(target.state_dict().items(), desc="Calculating delta"): | |
if name not in base.state_dict(): | |
assert name in ["model.mm_projector.weight", "model.mm_projector.bias"], f"{name} not in base model" | |
continue | |
if param.data.shape == base.state_dict()[name].shape: | |
param.data -= base.state_dict()[name] | |
else: | |
assert name in ["model.embed_tokens.weight", "lm_head.weight"], f"{name} dimension mismatch: {param.data.shape} vs {base.state_dict()[name].shape}" | |
bparam = base.state_dict()[name] | |
param.data[: bparam.shape[0], : bparam.shape[1]] -= bparam | |
print("Saving delta") | |
if hub_repo_id: | |
kwargs = {"push_to_hub": True, "repo_id": hub_repo_id} | |
else: | |
kwargs = {} | |
target.save_pretrained(delta_path, **kwargs) | |
target_tokenizer = AutoTokenizer.from_pretrained(target_model_path) | |
target_tokenizer.save_pretrained(delta_path, **kwargs) | |
if __name__ == "__main__": | |
parser = argparse.ArgumentParser() | |
parser.add_argument("--base-model-path", type=str, required=True) | |
parser.add_argument("--target-model-path", type=str, required=True) | |
parser.add_argument("--delta-path", type=str, required=True) | |
parser.add_argument("--hub-repo-id", type=str, default=None) | |
args = parser.parse_args() | |
make_delta(args.base_model_path, args.target_model_path, args.delta_path, args.hub_repo_id) | |