Hy MT2 7B GGUF

--- base_model: - tencent/Hy-MT2-7B license: apache-2.0 --- <p align="left"> English&nbsp;｜&nbsp;<a href="README_CN.md">中文</a> </p> <br> <p align="center"> <img src="imgs/logo-en.png" width="400"/> <br> </p> <div align="center" style="line-height: 1;"> [](https://huggingface.co/collections/tencent/hy-mt2) &nbsp;&nbsp; [](https://modelscope.cn/collections/Tencent-Hunyuan/Hy-MT2) </div> <p align="center"> 🖥️&nbsp;<a href="https://aistudio.tencent.com/llm/en?tabIndex=0"><b>Official Website</b></a>&nbsp;&nbsp;|&nbsp;&nbsp; 💬&nbsp;<a href="https://github.com/Tencent-Hunyuan/Hy-MT2"><b>GitHub</b></a>&nbsp;&nbsp;|&nbsp;&nbsp; 🪡&nbsp;<a href="https://github.com/Tencent/AngelSlim/tree/main"><b>AngelSlim</b></a>&nbsp;&nbsp;|&nbsp;&nbsp; 📚&nbsp;<a href="https://arxiv.org/pdf/2605.22064"><b>Hy-MT2 Report</b></a></p> ## Model Introduction Hy-MT2 is a family of “fast-thinking” multilingual translation models designed for complex real-world scenarios. It includes three model sizes: 1.8B, 7B, and 30B-A3B (MoE), all of which support translation among 33 languages and effectively follow translation instructions in multiple languages. For on-device deployment, AngelSlim 1.25-bit extreme quantization reduces the storage requirement of the 1.8B model to only 440 MB and improves inference speed by 1.5x. Multi-dimensional evaluations show that Hy-MT2 delivers outstanding performance across general, real-world business, domain-specific, and instruction-following translation tasks. The 7B and 30B-A3B models outperform open-source models such as DeepSeek-V4-Pro and Kimi K2.6 in fast-thinking mode, while the lightweight 1.8B model also surpasses mainstream commercial APIs from providers such as Microsoft and Doubao overall. In this release, we also open-source [IFMTBench](./IFMTBench/README.md), a benchmark for evaluating translation instruction-following capabilities. We also welcome everyone to use our released Hy-MT2-Translator Skill, which makes it easy to integrate Hy-MT2 series models for translation tasks. Download links: [ClawHub](https://clawhub.ai/tencent-adm/hy-mt2-translator-skill) and [SkillHub](https://skillhub.cn/skills/hy-mt2-translator). Now, Tencent H...

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