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license: apache-2.0 |
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**Exllamav2** quant (**exl2** / **6.0 bpw**) made with ExLlamaV2 v0.0.21 |
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Other EXL2 quants: |
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| **Quant** | **Model Size** | **lm_head** | |
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| ----- | ---------- | ------- | |
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|<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> | |
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|<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> | |
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|<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> | |
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|<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> | |
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|<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> | |
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|<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> | |
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|<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> | |
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|<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> | |
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|<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> | |
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|<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> | |
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|<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> | |
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<div align="center"> |
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<picture> |
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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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</picture> |
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</div> |
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<p align="center"> |
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<a href="https://github.com/01-ai">🐙 GitHub</a> • |
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<a href="https://discord.gg/hYUwWddeAu">👾 Discord</a> • |
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<a href="https://twitter.com/01ai_yi">🐤 Twitter</a> • |
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<a href="https://github.com/01-ai/Yi-1.5/issues/2">💬 WeChat</a> |
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<br/> |
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<a href="https://arxiv.org/abs/2403.04652">📝 Paper</a> • |
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<a href="https://github.com/01-ai/Yi/tree/main?tab=readme-ov-file#faq">🙌 FAQ</a> • |
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<a href="https://github.com/01-ai/Yi/tree/main?tab=readme-ov-file#learning-hub">📗 Learning Hub</a> |
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</p> |
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# Intro |
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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. |
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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. |
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<div align="center"> |
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Model | Context Length | Pre-trained Tokens |
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| :------------: | :------------: | :------------: | |
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| Yi-1.5 | 4K, 16K, 32K | 3.6T |
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</div> |
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# Models |
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- Chat models |
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<div align="center"> |
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| Name | Download | |
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| --------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
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| 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) | |
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| 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) | |
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| 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) | |
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| 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) | |
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| 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) | |
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</div> |
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- Base models |
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<div align="center"> |
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| Name | Download | |
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| ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
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| Yi-1.5-34B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) | |
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| 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) | |
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| Yi-1.5-9B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) | |
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| 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) | |
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| Yi-1.5-6B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) | |
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</div> |
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# Benchmarks |
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- Chat models |
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Yi-1.5-34B-Chat is on par with or excels beyond larger models in most benchmarks. |
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Yi-1.5-9B-Chat is the top performer among similarly sized open-source models. |
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- Base models |
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Yi-1.5-34B is on par with or excels beyond larger models in some benchmarks. |
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Yi-1.5-9B is the top performer among similarly sized open-source models. |
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# Quick Start |
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For getting up and running with Yi-1.5 models quickly, see [README](https://github.com/01-ai/Yi-1.5). |
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