Created
May 13, 2024 02:05
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split merged qkv_proj of lora for phi-3, useful for enabling lora in VLLM.
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import torch | |
import os | |
import json | |
from safetensors.torch import load_file, save_file | |
def replicate_lora_a(name: str, weight: "torch.Tensor") -> dict[str, "torch.Tensor"]: | |
prefix, suffix = name.split('qkv_proj') | |
res = {} | |
for t in ['q_proj', 'k_proj', 'v_proj']: | |
name = f"{prefix}{t}{suffix}" | |
res[name] = weight.clone() | |
return res | |
def split_lora_b(name: str, weight: "torch.Tensor") -> dict[str, "torch.Tensor"]: | |
size = weight.shape[0] // 3 | |
prefix, suffix = name.split('qkv_proj') | |
res = { | |
f"{prefix}{t}{suffix}": w | |
for t, w in zip(['q_proj', 'k_proj', 'v_proj'], weight.split(size)) | |
} | |
return res | |
def convert_qkv_lora_to_splits_vllm(adapter_folder_path: str, output_folder_path: str) -> dict[str, torch.Tensor]: | |
"""return the new adapter dict""" | |
adapter_bin_name = 'adapter_model.safetensors' | |
adapter_config_name = 'adapter_config.json' | |
lora = load_file(f"{adapter_folder_path}/{adapter_bin_name}") | |
with open(f"{adapter_folder_path}/{adapter_config_name}", 'r') as f: | |
lora_config = json.load(f) | |
assert 'qkv_proj' in lora_config['target_modules'] | |
assert lora_config['base_model_name_or_path'] == "microsoft/Phi-3-mini-4k-instruct" | |
# converting weights | |
res = {} | |
for k, v in lora.items(): | |
if 'qkv_proj' in k and 'lora_A' in k: | |
res.update(replicate_lora_a(k, v)) | |
elif 'qkv_proj' in k and 'lora_B' in k: | |
res.update(split_lora_b(k, v)) | |
else: | |
res[k] = v | |
# converting config | |
temp = ['q_proj', 'k_proj', 'v_proj'] + [t for t in lora_config['target_modules'] if t != 'qkv_proj'] | |
lora_config['target_modules'] = temp | |
# saving | |
os.makedirs(output_folder_path, exist_ok=True) | |
save_file(res, f"{output_folder_path}/{adapter_bin_name}", metadata={"format": "pt"}) | |
with open(f"{output_folder_path}/{adapter_config_name}", 'w') as f: | |
json.dump(lora_config, f, indent=4) | |
return res | |
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