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48 lines
1.8 KiB
Python
48 lines
1.8 KiB
Python
"""
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Make the delta weights by subtracting base weights.
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Usage:
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python3 -m fastchat.model.make_delta --base ~/model_weights/llama-13b --target ~/model_weights/vicuna-13b --delta ~/model_weights/vicuna-13b-delta --hub-repo-id lmsys/vicuna-13b-delta-v1.1
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"""
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import argparse
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import torch
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from tqdm import tqdm
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from transformers import AutoTokenizer, AutoModelForCausalLM
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def make_delta(base_model_path, target_model_path, delta_path):
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print(f"Loading the base model from {base_model_path}")
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base = AutoModelForCausalLM.from_pretrained(
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base_model_path, torch_dtype=torch.float16, low_cpu_mem_usage=True
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)
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print(f"Loading the target model from {target_model_path}")
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target = AutoModelForCausalLM.from_pretrained(
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target_model_path, torch_dtype=torch.float16, low_cpu_mem_usage=True
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)
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target_tokenizer = AutoTokenizer.from_pretrained(target_model_path, use_fast=False)
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print("Calculating the delta")
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for name, param in tqdm(target.state_dict().items(), desc="Calculating delta"):
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assert name in base.state_dict()
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param.data -= base.state_dict()[name]
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print(f"Saving the delta to {delta_path}")
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if args.hub_repo_id:
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kwargs = {"push_to_hub": True, "repo_id": args.hub_repo_id}
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else:
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kwargs = {}
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target.save_pretrained(delta_path, **kwargs)
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target_tokenizer.save_pretrained(delta_path, **kwargs)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("--base-model-path", type=str, required=True)
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parser.add_argument("--target-model-path", type=str, required=True)
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parser.add_argument("--delta-path", type=str, required=True)
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parser.add_argument("--hub-repo-id", type=str)
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args = parser.parse_args()
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make_delta(args.base_model_path, args.target_model_path, args.delta_path)
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