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01-ai_Yi-1.5-9B-Chat-16K-6_5bpw_exl2

Text Generation
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conversational
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01-ai_Yi-1.5-9B-Chat-16K-6_5bpw_exl2
File size: 6,860 Bytes 
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---
license: apache-2.0
---
**Exllamav2** quant (**exl2** / **6.5 bpw**) made with ExLlamaV2 v0.0.21

Other EXL2 quants:
| **Quant** | **Model Size** | **lm_head** |
| ----- | ---------- | ------- |
|<center>**[2.2](https://huggingface.co/Zoyd/01-ai_Yi-1.5-9B-Chat-16K-2_2bpw_exl2)**</center> | <center>2900 MB</center> | <center>6</center> |
|<center>**[2.5](https://huggingface.co/Zoyd/01-ai_Yi-1.5-9B-Chat-16K-2_5bpw_exl2)**</center> | <center>3171 MB</center> | <center>6</center> |
|<center>**[3.0](https://huggingface.co/Zoyd/01-ai_Yi-1.5-9B-Chat-16K-3_0bpw_exl2)**</center> | <center>3669 MB</center> | <center>6</center> |
|<center>**[3.5](https://huggingface.co/Zoyd/01-ai_Yi-1.5-9B-Chat-16K-3_5bpw_exl2)**</center> | <center>4162 MB</center> | <center>6</center> |
|<center>**[3.75](https://huggingface.co/Zoyd/01-ai_Yi-1.5-9B-Chat-16K-3_75bpw_exl2)**</center> | <center>4411 MB</center> | <center>6</center> |
|<center>**[4.0](https://huggingface.co/Zoyd/01-ai_Yi-1.5-9B-Chat-16K-4_0bpw_exl2)**</center> | <center>4657 MB</center> | <center>6</center> |
|<center>**[4.25](https://huggingface.co/Zoyd/01-ai_Yi-1.5-9B-Chat-16K-4_25bpw_exl2)**</center> | <center>4906 MB</center> | <center>6</center> |
|<center>**[5.0](https://huggingface.co/Zoyd/01-ai_Yi-1.5-9B-Chat-16K-5_0bpw_exl2)**</center> | <center>5648 MB</center> | <center>6</center> |
|<center>**[6.0](https://huggingface.co/Zoyd/01-ai_Yi-1.5-9B-Chat-16K-6_0bpw_exl2)**</center> | <center>6687 MB</center> | <center>8</center> |
|<center>**[6.5](https://huggingface.co/Zoyd/01-ai_Yi-1.5-9B-Chat-16K-6_5bpw_exl2)**</center> | <center>7178 MB</center> | <center>8</center> |
|<center>**[8.0](https://huggingface.co/Zoyd/01-ai_Yi-1.5-9B-Chat-16K-8_0bpw_exl2)**</center> | <center>8328 MB</center> | <center>8</center> |

<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, 16K, 32K | 3.6T

</div>

# Models

- Chat models

  <div align="center">
  
  | Name            | Download                                                                                                                                                            |
  | --------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
  | Yi-1.5-34B-Chat | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
  | Yi-1.5-34B-Chat-16K  | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
  | Yi-1.5-9B-Chat  | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
  | Yi-1.5-9B-Chat-16K  | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
  | Yi-1.5-6B-Chat  | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
  
  </div>

- Base models

  <div align="center">
  
  | Name       | Download                                                                                                                                                            |
  | ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
  | Yi-1.5-34B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
  | Yi-1.5-34B-32K | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
  | Yi-1.5-9B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
  | Yi-1.5-9B-32K  | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
  | Yi-1.5-6B  | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
  
  </div>

# Benchmarks

- Chat models

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

  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/KcsJ9Oc1VnEmfCDEJc5cd.png)

  Yi-1.5-9B-Chat is the top performer among similarly sized open-source models.

  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/xf6pLg5jqRCwjlh6m3t6_.png)

- Base models

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

  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/BwU7QM-03dZvZzwdIE1xY.png)

  Yi-1.5-9B is the top performer among similarly sized open-source models.

  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/y-EYSYPT-3aWLJ0x8R94F.png)

# Quick Start

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