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Peft库使用技巧(一):合并基座模型与Lora模型【使用Peft库微调基座模型(比如LLaMA-7B)后会得到Lora参数模块,将基座模型与Lora参数合并后才能得到完整的微调后的大模型】

使用Peft库微调基座模型(比如LLaMA-7B)后会得到Lora参数模块,将基座模型与Lora参数合并后才能得到完整的微调后的大模型

#    Copyright 2023 Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li
#
#    Licensed under the Apache License, Version 2.0 (the "License");
#    you may not use this file except in compliance with the License.
#    You may obtain a copy of the License at
#
#        http://www.apache.org/licenses/LICENSE-2.0
#
#    Unless required by applicable law or agreed to in writing, software
#    distributed under the License is distributed on an "AS IS" BASIS,
#    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#    See the License for the specific language governing permissions and
#    limitations under the License.

from typing import Optional
from peft import PeftModel
import fire
import torch
import tqdm
import transformers


@torch.inference_mode()
def merge(
    path_zhixi,
    path_lora,
    p

更新时间 2023-11-28