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- <a href="https://huggingface.co/01-ai">πŸ€— HuggingFace</a> β€’
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- <a href="https://www.modelscope.cn/organization/01ai/">πŸ€– ModelScope</a> β€’
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- <a href="https://wisemodel.cn/organization/01.AI">✑️ WiseModel</a>
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- <br/>
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  <a href="https://github.com/01-ai/Yi-1.5">πŸ™ GitHub</a> β€’
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  <a href="https://discord.gg/hYUwWddeAu">πŸ‘Ύ Discord</a> β€’
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  <a href="https://twitter.com/01ai_yi">🐀 Twitter</a> β€’
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  - Yi-1.5-34B excels beyond or is on par with some larger models in overall performance.
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- | Model | MMLU | CMMLU | BBH | AGIEval | HumanEva(+) | MBPP(+) | GSM8k | MATH |
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- | --------------- | ---- | ----- | ---- | ------- | ----------- | ---------- | ----- | ---- |
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- | Mistral 8\*22B | 77.8 | 60.4 | 61.9 | 58.6 | 45.1(34.1) | 71.2(-) | 81.7 | 41.8 |
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- | DeepSeek-V2 | 78.5 | 84.0 | 78.9 | \- | 48.8(-) | 66.6(-) | 79.2 | 43.6 |
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- | Qwen1.5-32B | 73.7 | 83 | 66.8 | 72.6 | 37.8(35.4) | 49.4(44.4) | 79.5 | 37.7 |
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- | Qwen1.5-72B | 77.5 | 84.2 | 65.5 | 71.7 | 41.5(39.0) | 53.4(43.6) | 81.4 | 41.8 |
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- | Llama3_70B_base | 78.7 | 68.9 | 65.0 | 52.8 | 38.4(34.8) | 69.7(52.9) | 82.4 | 42.4 |
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- | Yi 1.5-34B | 77.1 | 84.8 | 76.4 | 71.1 | 46.3(40.2) | 65.5(55.4) | 82.7 | 41.0 |
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  - Yi-1.5-9B is a strong 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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  <a href="https://github.com/01-ai/Yi-1.5">πŸ™ GitHub</a> β€’
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  <a href="https://discord.gg/hYUwWddeAu">πŸ‘Ύ Discord</a> β€’
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  <a href="https://twitter.com/01ai_yi">🐀 Twitter</a> β€’
 
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  - Yi-1.5-34B excels beyond or is on par with some larger models in overall performance.
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/rVDOPiSerpCz_prrT4n5M.png)
 
 
 
 
 
 
 
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  - Yi-1.5-9B is a strong 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).