lab Tencent Hunyuan (HF) · 1h ago · releases

Tencent open-sources Hy-MT2 multilingual translation models and IFMTBench

from English

Tencent has released the Hy-MT2 family of "fast-thinking" multilingual translation models, including 1.8B, 7B, and 30B-A3B (MoE) sizes, along with the IFMTBench benchmark for evaluating instruction-following capabilities.

The models support translation among 33 languages and effectively follow instructions in multiple languages.
AngelSlim 1.25-bit extreme quantization reduces the storage requirement of the 1.8B model to 440 MB and improves inference speed by 1.5x.
Evaluations show the 7B and 30B-A3B models outperform open-source models like DeepSeek-V4-Pro and Kimi K2.6 in fast-thinking mode, while the 1.8B model surpasses mainstream commercial APIs from Microsoft and Doubao.
The release includes a complete training pipeline supporting full-parameter fine-tuning, LoRA, and DeepSpeed ZeRO configurations.

The models are now available on HuggingFace and ModelScope, with Tencent partnering with WMT26 for the "Video Subtitle Translation Task" to encourage community participation.

Importance 2/3 Trust 1/3 Tencent Hunyuan (HF) Tencent Inference efficiency Open weights

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