| Quantization made by Richard Erkhov. | |
| [Github](https://github.com/RichardErkhov) | |
| [Discord](https://discord.gg/pvy7H8DZMG) | |
| [Request more models](https://github.com/RichardErkhov/quant_request) | |
| Yi-1.5-9B-Chat - bnb 4bits | |
| - Model creator: https://huggingface.co/01-ai/ | |
| - Original model: https://huggingface.co/01-ai/Yi-1.5-9B-Chat/ | |
| Original model description: | |
| --- | |
| 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://01-ai.github.io/">💪 Tech Blog</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) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI)| | |
| | 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) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | | |
| | 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) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | | |
| | 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) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | | |
| | 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) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | | |
| </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) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | | |
| | 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) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | | |
| | Yi-1.5-9B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | | |
| | 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) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | | |
| | Yi-1.5-6B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | | |
| </div> | |
| # Benchmarks | |
| - Chat models | |
| Yi-1.5-34B-Chat is on par with or excels beyond larger models in most benchmarks. | |
|  | |
| Yi-1.5-9B-Chat is the top performer among similarly sized open-source models. | |
|  | |
| - Base models | |
| Yi-1.5-34B is on par with or excels beyond larger models in some benchmarks. | |
|  | |
| Yi-1.5-9B is the top performer among similarly sized open-source models. | |
|  | |
| # Quick Start | |
| For getting up and running with Yi-1.5 models quickly, see [README](https://github.com/01-ai/Yi-1.5). | |