> For the complete documentation index, see [llms.txt](https://zjunlp.gitbook.io/easyinstruct/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://zjunlp.gitbook.io/easyinstruct/readme.md).

# Overview

<figure><img src="/files/71Ue3ffuSQSPCBKPJT8H" alt="" width="375"><figcaption><p><strong>An Easy-to-use Instruction Processing Framework for Large Language Models.</strong></p></figcaption></figure>

![](https://img.shields.io/badge/version-v0.1.1-blue) [![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT) ![](https://img.shields.io/github/last-commit/zjunlp/EasyInstruct?color=green) ![](https://img.shields.io/badge/PRs-Welcome-red)

EasyInstruct is a Python package which is proposed as an easy-to-use instruction processing framework for Large Language Models(LLMs). EasyInstruct is designed to be easy to use and easy to extend.

<figure><img src="/files/KHyC2iuHUQcVaojI6Mdu" alt=""><figcaption><p><strong>Overview of EasyInstruct.</strong></p></figcaption></figure>