Hunyuan-MT-7B is a large-scale multilingual translation model developed by Tencent, designed to deliver state-of-the-art translation quality across 36 languages, including several Chinese ethnic minority languages. It forms part of the Hunyuan Translation Model family, alongside Hunyuan-MT-Chimera, which ensembles outputs for even higher accuracy. Trained with a comprehensive framework spanning pretraining, cross-lingual pretraining, supervised fine-tuning, enhancement, and ensemble refinement, the model achieves competitive results against systems of similar or larger scale. At WMT25, Hunyuan-MT secured first place in 30 of the 31 translation categories it entered, highlighting its reliability in real-world multilingual use. The model offers flexible deployment options with variants such as FP8 quantization and ensemble configurations. It supports natural prompts for both Chinese translations, making it easy to integrate into translation workflows.

Features

  • Supports 36 languages, including minority languages like Tibetan, Uyghur, and Mongolian
  • Achieved first place in 30 of 31 WMT25 translation tracks
  • 7B parameter model optimized for translation performance
  • Ensemble variant (Hunyuan-MT-Chimera) boosts translation quality further
  • Comprehensive training pipeline
  • Provides FP8 quantized versions for efficient inference
  • Prompt templates available for easy Chinese translation tasks
  • Open-source release under Apache-style accessibility for broad use

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Additional Project Details

Programming Language

Python

Related Categories

Python AI Models

Registered

2025-09-03