---
license: apache-2.0
---
<div align="center">

<picture> 
  <img src="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yi_logo_icon_light.svg" width="150px">
</picture>

</div>

<p align="center">
  <a href="https://github.com/01-ai">🐙 GitHub</a> •
  <a href="https://discord.gg/hYUwWddeAu">👾 Discord</a> •
  <a href="https://twitter.com/01ai_yi">🐤 Twitter</a> •
  <a href="https://github.com/01-ai/Yi-1.5/issues/2">💬 WeChat</a> 
  <br/>
  <a href="https://arxiv.org/abs/2403.04652">📝 Paper</a> •
  <a href="https://github.com/01-ai/Yi/tree/main?tab=readme-ov-file#faq">🙌 FAQ</a> •
  <a href="https://github.com/01-ai/Yi/tree/main?tab=readme-ov-file#learning-hub">📗 Learning Hub</a>
</p>

# Intro

Yi-1.5 is an upgraded version of Yi. It is continuously pre-trained on Yi with a high-quality corpus of 500B tokens and fine-tuned on 3M diverse fine-tuning samples. 

Compared with Yi, Yi-1.5 delivers stronger performance in coding, math, reasoning, and instruction-following capability, while still maintaining excellent capabilities in language understanding, commonsense reasoning, and reading comprehension.

<div align="center">
  
Model | Context Length | Pre-trained Tokens
| :------------: | :------------: | :------------: |
| Yi-1.5 | 4K | 3.6T

</div>

# Models

- Chat models

  <table>
  <thead>
    <tr>
      <th>Model</th>
      <th>Download</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Yi-1.5-34B-Chat</td>
      <td rowspan="3">• <a href="https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8">🤗 Hugging Face</a> • <a href="https://www.modelscope.cn/organization/01ai">🤖 ModelScope</a><br></td>
    </tr>
    <tr>
      <td>Yi-1.5-9B-Chat</td>
    </tr>
    <tr>
      <td>Yi-1.5-6B-Chat</td>
    </tr>
  </tbody>
  </table>

- Base models

  <table>
  <thead>
    <tr>
      <th>Model</th>
      <th>Download</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Yi-1.5-34B</td>
      <td rowspan="3">• <a href="https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8">🤗 Hugging Face</a> • <a href="https://www.modelscope.cn/organization/01ai">🤖 ModelScope</a><br></td>
    </tr>
    <tr>
      <td>Yi-1.5-9B</td>
    </tr>
    <tr>
      <td>Yi-1.5-6B</td>
    </tr>
  </tbody>
  </table>

---

<table>
<thead>
  <tr>
    <th>Model</th>
    <th>Name</th>
    <th>Download</th>
  </tr>
</thead>
<tbody>
  <tr>
    <td rowspan="3">Chat</td>
    <td>Yi-1.5-34B-Chat</td>
    <td rowspan="6">• <a href="https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8">🤗 Hugging Face</a> • <a href="https://www.modelscope.cn/organization/01ai/">🤖 ModelScope</a><br></td>
  </tr>
  <tr>
    <td>Yi-1.5-9B-Chat</td>
  </tr>
  <tr>
    <td>Yi-1.5-6B-Chat</td>
  </tr>
  <tr>
    <td rowspan="3">Base</td>
    <td>Yi-1.5-34B</td>
  </tr>
  <tr>
    <td>Yi-1.5-9B</td>
  </tr>
  <tr>
    <td>Yi-1.5-6B</td>
  </tr>
</tbody>
</table>

# Benchmarks

- Chat models

  Yi-1.5-34B-Chat is on par with or excels beyond larger models in most benchmarks.

  tbd

  Yi-1.5-9B-Chat is a strong performer among similarly sized open-source models.

  tbd

- Base models

# Quick Start

For getting up and running with Yi-1.5 models quickly, see [README](https://github.com/01-ai/Yi-1.5).