General-purpose LLMs have quietly become the default translation tool for most teams. But Tencent's Hunyuan group just made a strong case that a purpose-built model , one that thinks like a professional translator rather than a general reasoner , can beat them all, at a fraction of the size.
Hy-MT2 is a new open-source family of multilingual translation models, available in three sizes: 1.8B, 7B, and a 30B Mixture-of-Experts variant. All three sizes support translation among 33 languages and effectively follow translation instructions in multiple languages. The models are available now on Hugging Face and ModelScope, free to use.
The "Fast-Thinking" Bet
The key design philosophy here is what Tencent calls "fast-thinking." Traditional LLM translation uses a "slow thinking" approach , understand the full semantics first, then generate. Tencent introduced a "fast-thinking" paradigm: react like a professional human translator, cutting unnecessary reasoning overhead. In practice, this means the model is tuned to skip the verbose chain-of-thought that general LLMs use for translation and go straight to producing high-quality output.
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