The Hunyuan Translation Model consists of a translation model, Hunyuan-MT-7B, and an ensemble model, Hunyuan-MT-Chimera. Hunyuan-MT-7B is a lightweight translation model with 7 billion parameters used to translate source text into the target language. The model supports mutual translation among 33 languages, including five ethnic minority languages in China. In the WMT25 machine translation competition, Hunyuan-MT-7B won first place in 30 out of the 31 language categories it participated in, demonstrating its outstanding translation capabilities. For translation tasks, Tencent Hunyuan proposed a comprehensive training framework covering pre-training, supervised fine-tuning, translation enhancement, and ensemble refinement, achieving state-of-the-art performance among models of a similar scale. The model is computationally efficient and easy to deploy, making it suitable for various application scenarios...

Hunyuan-A13B-Instruct activates only 13 B of its 80 B parameters, yet matches much larger LLMs on mainstream benchmarks. It offers hybrid reasoning: low-latency “fast” mode or high-precision “slow” mode, switchable per call. Native 256 K-token context lets it digest book-length documents without degradation. Agent skills are tuned for BFCL-v3, τ-Bench and C3-Bench leadership, making it an excellent autonomous assistant backbone. Grouped Query Attention plus multi-format quantization delivers memory-light, GPU-efficient inference for real-world deployment, with built-in multilingual support and robust safety alignment for enterprise-grade applications....