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license: apache-2.0
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<img src="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yi_logo_icon_light.svg" width="150px">
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<a href="https://github.com/01-ai">πŸ™ GitHub</a> β€’
<a href="https://discord.gg/hYUwWddeAu">πŸ‘Ύ Discord</a> β€’
<a href="https://twitter.com/01ai_yi">🐀 Twitter</a> β€’
<a href="https://github.com/01-ai/Yi-1.5/issues/2">πŸ’¬ WeChat</a>
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<a href="https://arxiv.org/abs/2403.04652">πŸ“ Paper</a> β€’
<a href="https://01-ai.github.io/">πŸ’ͺ Tech Blog</a> β€’
<a href="https://github.com/01-ai/Yi/tree/main?tab=readme-ov-file#faq">πŸ™Œ FAQ</a> β€’
<a href="https://github.com/01-ai/Yi/tree/main?tab=readme-ov-file#learning-hub">πŸ“— Learning Hub</a>
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# This repo contains the copy of the original with the edited tokenizer_config.json file to fix the tokenizer issue and quantized to FP8.
# 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
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# Models
- Chat models
<div align="center">
| Name | Download |
| --------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Yi-1.5-34B-Chat | β€’ [πŸ€— Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β€’ [πŸ€– ModelScope](https://www.modelscope.cn/organization/01ai) β€’ [🟣 wisemodel](https://wisemodel.cn/organization/01.AI)|
| Yi-1.5-34B-Chat-16K | β€’ [πŸ€— Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β€’ [πŸ€– ModelScope](https://www.modelscope.cn/organization/01ai) β€’ [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) |
| Yi-1.5-9B-Chat | β€’ [πŸ€— Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β€’ [πŸ€– ModelScope](https://www.modelscope.cn/organization/01ai) β€’ [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) |
| Yi-1.5-9B-Chat-16K | β€’ [πŸ€— Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β€’ [πŸ€– ModelScope](https://www.modelscope.cn/organization/01ai) β€’ [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) |
| Yi-1.5-6B-Chat | β€’ [πŸ€— Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β€’ [πŸ€– ModelScope](https://www.modelscope.cn/organization/01ai) β€’ [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) |
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- Base models
<div align="center">
| Name | Download |
| ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Yi-1.5-34B | β€’ [πŸ€— Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β€’ [πŸ€– ModelScope](https://www.modelscope.cn/organization/01ai) β€’ [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) |
| Yi-1.5-34B-32K | β€’ [πŸ€— Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β€’ [πŸ€– ModelScope](https://www.modelscope.cn/organization/01ai) β€’ [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) |
| Yi-1.5-9B | β€’ [πŸ€— Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β€’ [πŸ€– ModelScope](https://www.modelscope.cn/organization/01ai) β€’ [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) |
| Yi-1.5-9B-32K | β€’ [πŸ€— Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β€’ [πŸ€– ModelScope](https://www.modelscope.cn/organization/01ai) β€’ [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) |
| Yi-1.5-6B | β€’ [πŸ€— Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) β€’ [πŸ€– ModelScope](https://www.modelscope.cn/organization/01ai) β€’ [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) |
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# 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).