---
title: "Yi"
type: "tool"
slug: "01-ai-yi"
canonical_url: "https://www.graphcanon.com/tools/01-ai-yi"
github_url: "https://github.com/01-ai/Yi"
homepage_url: "https://01.ai"
stars: 7823
forks: 489
primary_language: "Jupyter Notebook"
license: "Apache-2.0"
categories: ["llm-frameworks"]
tags: ["large-language-models", "jupyter-notebook"]
updated_at: "2026-07-07T18:36:51.629324+00:00"
---

# Yi

> Building the Next Generation of Open-Source and Bilingual LLMs

A repository for large language models developed by @01-ai, primarily in Jupyter Notebooks. Provides various pre-trained models available on Hugging Face, ModelScope, and wisemodel.

## Facts

- Repository: https://github.com/01-ai/Yi
- Homepage: https://01.ai
- Stars: 7,823 · Forks: 489 · Open issues: 31 · Watchers: 108
- Primary language: Jupyter Notebook
- License: Apache-2.0
- Last pushed: 2024-11-27T09:25:57+00:00

## Categories

- [LLM Frameworks](/categories/llm-frameworks.md)

## Tags

large language models, jupyter-notebook

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## README (excerpt)

```text
<p align="left">
    &nbspEnglish&nbsp | &nbsp; <a href="README_CN.md">中文</a>
</p>
<br><br>

<div align="center">

<picture>
  <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yi_logo_icon_dark.svg" width="200px">
  <source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yi_logo_icon_light.svg" width="200px"> 
  <img alt="specify theme context for images" src="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yi_logo_icon_light.svg" width="200px">
</picture>

</br>
</br>

<a href="https://github.com/01-ai/Yi/actions/workflows/build_docker_image.yml">
  <img src="https://github.com/01-ai/Yi/actions/workflows/build_docker_image.yml/badge.svg">
</a>
<a href="mailto:oss@01.ai">
  <img src="https://img.shields.io/badge/✉️-yi@01.ai-FFE01B">
</a>

</div>

<div id="top"></div>  

<div align="center">
  <h3 align="center">Building the Next Generation of Open-Source and Bilingual LLMs</h3>
</div>
<p align="center">
🤗 <a href="https://huggingface.co/01-ai" target="_blank">Hugging Face</a> • 🤖 <a href="https://www.modelscope.cn/organization/01ai/" target="_blank">ModelScope</a> • 🟣 <a href="https://wisemodel.cn/organization/01.AI" target="_blank">wisemodel</a>
</p> 

<p align="center">
    👩‍🚀 Ask questions or discuss ideas on <a href="https://github.com/01-ai/Yi/discussions" target="_blank"> GitHub </a>
</p> 

<p align="center">
    👋 Join us on <a href="https://discord.gg/hYUwWddeAu" target="_blank"> 👾 Discord </a> or <a href="https://github.com/01-ai/Yi-1.5/issues/2" target="_blank"> 💬 WeChat </a>
</p> 

<p align="center">
    📝 Check out  <a href="https://arxiv.org/abs/2403.04652"> Yi Tech Report </a>
</p> 

<p align="center">
    📚 Grow at <a href="#learning-hub"> Yi Learning Hub </a>
</p> 

<p align="center">
    💪 Learn at <a href="https://01-ai.github.io/"> Yi Tech Blog </a>
</p> 



<hr>

<details open>
<summary></b>📕 Table of Contents</b></summary>

- [What is Yi?](#what-is-yi)
  - [Introduction](#introduction)
  - [Models](#models)
    - [Chat models](#chat-models)
    - [Base models](#base-models)
    - [Model info](#model-info)
  - [News](#news)
- [How to use Yi?](#how-to-use-yi)
  - [Quick start](#quick-start)
    - [Choose your path](#choose-your-path)
    - [pip](#quick-start---pip)
    - [docker](#quick-start---docker)
    - [llama.cpp](#quick-start---llamacpp)
    - [conda-lock](#quick-start---conda-lock)
    - [Web demo](#web-demo)
  - [Fine-tuning](#fine-tuning)
  - [Quantization](#quantization)
  - [Deployment](#deployment)
  - [FAQ](#faq)
  - [Learning hub](#learning-hub)
- [Why Yi?](#why-yi)
  - [Ecosystem](#ecosystem)
    - [Upstream](#upstream)
    - [Downstream](#downstream)
      - [Serving](#serving)
      - [Quantization](#quantization-1)
      - [Fine-tuning](#fine-tuning-1)
      - [API](#api)
  - [Benchmarks](#benchmarks)
    - [Base model performance](#base-model-performance)
    - [Chat model performance](#chat-model-performance)
  - [Tech report](#tech-report)
    - [Citation](#citation)
- [Who can use Yi?](#who-can-use-yi)
- [Misc.](#misc)
  - [Acknowledgements](#acknowledgments)
  - [Disclaimer](#disclaimer)
  - [License](#license)

</details>

<hr>

# What is Yi?

## Introduction 

- 🤖 The Yi series models are the next generation of open-source large language models trained from scratch by [01.AI](https://01.ai/).

- 🙌 Targeted as a bilingual language model and trained on 3T multilingual corpus, the Yi series models become one of the strongest LLM worldwide, showing promise in language understanding, commonsense reasoning, reading comprehension, and more. For example,
  
  - Yi-34B-Chat model **landed in second place (following GPT-4 Turbo)**, outperforming other LLMs (such as GPT-4, Mixtral, Claude) on the AlpacaEval Leaderboard (based on data available up to January 2024).

  - Yi-34B model **ranked first among all existing open-source models** (such as Falco
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/01-ai-yi`](/api/graphcanon/tools/01-ai-yi)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_