.github assets data docker evaluation examples accelerate deepspeed extras inference merge_lora train_full train_lora train_qlora README.md README_zh.md scripts src tests .dockerignore .env.local .gitattributes .gitignore .pre-commit-config.yaml CITATION.cff LICENSE MANIFEST.in Makefile README.md...
git clone --depth 1 https://github.com/hiyouga/LLaMA-Factory.git cd LLaMA-Factory pip install -e ".[torch,metrics]" Extra dependencies available: torch, torch-npu, metrics, deepspeed, liger-kernel, bitsandbytes, hqq, eetq, gptq, awq, aqlm, vllm, galore, apollo, badam, adam-mini...
项目链接：https://github.com/hiyouga/LLaMA-Factory LLAMA FACTORY框架的核心组成 下图显示了LLAMA FACTORY由三个主要模块组成：模型加载器（Model Loader）、数据工作者（Data Worker）和训练器（Trainer）。1. 模型加载器：支持100+语言模型的准备工作 LLAMA FACTORY框架的模型加载器是其核心组件之一，负责准备和加载...
由于通过LlaMA-Factory导出的模型与Ollama所需格式有区别,需要借助Llama.cpp的代码进行转换。 仓库地址:https://github.com/ggerganov/llama.cpp git clone仓库之后,下载相关依赖: pip install -r requirements.txt 接着就可以进行转换了: python convert_hf_to_gguf.py /home/yyx/LLaMA-Factory/saves/Llama-3-...
Unify Efficient Fine-Tuning of 100+ LLMs. Contribute to raoulbia-ai/LLaMA-Factory development by creating an account on GitHub.
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git clone https://github.com/hiyouga/LLaMA-Factory.git conda create -n llama_factory python=3.10 conda activate llama_factory cd LLaMA-Factory pip install -e '.[torch,metrics]' 上述的安装命令完成了如下几件事 新建一个LLaMA-Factory 使用的python环境(可选) 安装LLaMA-Factory 所需要的第三方基础库...
LlamaFactory 是一个封装比较完善的LLM微调工具,它能够帮助用户快速地训练和微调大多数LLM模型。 Github: github.com/hiyouga/LLaM 1.1 简介 LlamaFactory架构 LlamaFactory主要通过Trainer类来实现训练流程,通过设置数据集、模型选型、训练类型、微调超参、模型保存,以及训练状态监控等信息,来开启训练。 支持的训练方法 ...
请问你排查结果是什么,望分享下。 4 0 replies Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment Category 🙏 Q&A Labels pending 7 participants Converted from issue This discussion was converted from issue #4283 on June 26, 2024 16:56. ...
项目链接:https://github.com/hiyouga/LLaMA-Factory 本文旨在结合笔者自身的实践经历,详细介绍如何使用LLaMA-Factory来微调多模态大语言模型。目前仓库已支持的的MLLM,包括但不限于:LLaVA-1.5,LLaVA-Next(-Video),Yi-VL,Paligemma(1/2),Pixtral,Qwen2-VL,MiniCPM-V-2.6/MiniCPM-o-2.6,LLaMA-Vision ...