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@@ -26,11 +26,12 @@ We present a compact yet powerful reasoning model **Ring-mini-2.0**. It has 16B
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  | **Model** | **#Total Params** | **#Activated Params** | **Context Length** | **Download** |
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  | :----------------: | :---------------: | :-------------------: | :----------------: | :----------: |
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  | Ring-mini-2.0 | 16.8B | 1.4B | 128K | [🤗 HuggingFace](https://huggingface.co/inclusionAI/Ring-mini-2.0) |
 
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  </div>
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  ## Evaluation
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- For a comprehensive evaluation of the quality of our reasoning models, we implemented automatic benchmarks to assess their performance including math, code and science.
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  <p align="center">
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  <img src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*5F9KR7Tm4MAAAAAARzAAAAgAemJ7AQ/original" width="1000"/>
 
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  | **Model** | **#Total Params** | **#Activated Params** | **Context Length** | **Download** |
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  | :----------------: | :---------------: | :-------------------: | :----------------: | :----------: |
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  | Ring-mini-2.0 | 16.8B | 1.4B | 128K | [🤗 HuggingFace](https://huggingface.co/inclusionAI/Ring-mini-2.0) |
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+ | Ring-lite-2507 | 16.8B | 2.75B | 128K | [🤗 HuggingFace](https://huggingface.co/inclusionAI/Ring-lite-2507) |
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  </div>
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  ## Evaluation
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+ For a comprehensive evaluation of the quality of our reasoning models, we implemented automatic benchmarks to assess their performance including math, code and science. The results indicate **Ring-mini-2.0** achieves comparable performace with **Ring-lite-2507** while activating only half parameters.
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  <p align="center">
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  <img src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*5F9KR7Tm4MAAAAAARzAAAAgAemJ7AQ/original" width="1000"/>