Hy-MT2
AI overview
Sign in and the AI will write an overview from our coverage.
Headlines · 1
- 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.
GitHub Trending · Python · 🔥 0
Experience and discussion from the community
Share my Hy-MT2 experienceAsk about Hy-MT2
Nobody has shared their experience with Hy-MT2 yet.