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<a href="README_CN.md">中文</a>  | English</a>
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<p align="center">
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<img src="https://dscache.tencent-cloud.cn/upload/uploader/hunyuan-64b418fd052c033b228e04bc77bbc4b54fd7f5bc.png" width="400"/> <br>
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</p><p></p>
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🤗 <a href="https://huggingface.co/tencent/"><b>Hugging Face</b></a> |
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<img src="https://avatars.githubusercontent.com/u/109945100?s=200&v=4" width="16"/> <a href="https://modelscope.cn/models/Tencent-Hunyuan/Hunyuan-A13B-Instruct"><b>ModelScope</b></a> |
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<img src="https://cdn-avatars.huggingface.co/v1/production/uploads/6594d0c6c5f1cd69a48b261d/04ZNQlAfs08Bfg4B1o3XO.png" width="14"/> <a href="https://github.com/Tencent/AngelSlim/tree/main"><b>AngelSlim</b></a>
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<p align="center">
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🕖 <a href="https://cloud.tencent.com/product/hunyuan"><b>HunyuanAPI</b></a> |
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🕹️ <a href="https://hunyuan.tencent.com/"><b>Demo</b></a>  
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<p align="center">
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<a href="https://github.com/Tencent-Hunyuan/Hunyuan-
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<a href="https://cnb.cool/tencent/hunyuan/Hunyuan-
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<a href="https://github.com/Tencent-Hunyuan/Hunyuan-
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</p>
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## Model Introduction
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Hunyuan is Tencent's open-source efficient large language model series, designed for versatile deployment across diverse computational environments. From edge devices to high-concurrency production systems, these models deliver optimal performance with advanced quantization support and ultra-long context capabilities.
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- **Efficient Inference**: Utilizes Grouped Query Attention (GQA) and supports multiple quantization formats, enabling highly efficient inference.
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## Related News
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* 2025.7.30 We have open-sourced **Hunyuan-0.5B-Pretrain** ,
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<br>
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## Benchmark
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Note: The following benchmarks are evaluated by TRT-LLM-backend on several **base models**.
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<p align="center">
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<img src="https://dscache.tencent-cloud.cn/upload/uploader/hunyuan-64b418fd052c033b228e04bc77bbc4b54fd7f5bc.png" width="400"/> <br>
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</p><p></p>
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<p align="center">
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🤗 <a href="https://huggingface.co/tencent/Hunyuan-0.5B-Instruct-FP8"><b>Hugging Face</b></a> |
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🖥️ <a href="https://hunyuan.tencent.com" style="color: red;"><b>Official Website</b></a> |
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🕖 <a href="https://cloud.tencent.com/product/hunyuan"><b>HunyuanAPI</b></a> |
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🕹️ <a href="https://hunyuan.tencent.com/"><b>Demo</b></a> |
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🤖 <a href="https://www.modelscope.cn/models/Tencent-Hunyuan/Hunyuan-0.5B-Instruct-FP8"><b>ModelScope</b></a>
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</p>
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<p align="center">
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<a href="https://github.com/Tencent-Hunyuan/Hunyuan-0.5B"><b>GITHUB</b></a> |
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<a href="https://cnb.cool/tencent/hunyuan/Hunyuan-0.5B"><b>cnb.cool</b></a> |
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<a href="https://github.com/Tencent-Hunyuan/Hunyuan-0.5B/blob/main/LICENSE.txt"><b>LICENSE</b></a> |
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<a href="https://raw.githubusercontent.com/Tencent-Hunyuan/Hunyuan-A13B/main/assets/1751881231452.jpg"><b>WeChat</b></a> |
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<a href="https://discord.gg/bsPcMEtV7v"><b>Discord</b></a>
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</p>
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## Model Introduction
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Hunyuan is Tencent's open-source efficient large language model series, designed for versatile deployment across diverse computational environments. From edge devices to high-concurrency production systems, these models deliver optimal performance with advanced quantization support and ultra-long context capabilities.
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- **Efficient Inference**: Utilizes Grouped Query Attention (GQA) and supports multiple quantization formats, enabling highly efficient inference.
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## Related News
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* 2025.7.30 We have open-sourced **Hunyuan-0.5B-Pretrain** , **Hunyuan-0.5B-Instruct** , **Hunyuan-1.8B-Pretrain** , **Hunyuan-1.8B-Instruct** , **Hunyuan-4B-Pretrain** , **Hunyuan-4B-Instruct** , **Hunyuan-7B-Pretrain** ,**Hunyuan-7B-Instruct** on Hugging Face.
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<br>
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## Benchmark
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Note: The following benchmarks are evaluated by TRT-LLM-backend on several **base models**.
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