IFMTBench

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1. Oct 10
   Tencent Hunyuan open-sources Hy-MT2 translation models in 1.8B, 7B and 30B-A3B sizes

   Tencent Hunyuan has open-sourced the Hy-MT2 family of multilingual translation models on Hugging Face and ModelScope, spanning 1.8B, 7B and 30B-A3B (MoE) sizes, covering 33 languages and emphasizing multilingual translation instruction-following. The team claims 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 1.8B model beats mainstream commercial APIs from providers such as Microsoft and Doubao overall — claims based on its own evaluations and not yet independently verified. The release also open-sources the IFMTBench instruction-following benchmark and a Hy-MT2-Translator Skill, and uses AngelSlim 1.25-bit quantization to shrink the 1.8B model to about 440 MB with a 1.5x inference speedup; Tencent Hy also announced a WMT26 partnership with sponsored awards for teams using Hy-MT models.

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