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】

系统管理员 2023-10-13 09:08 69阅读 0赞

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