Recently, Tencent announced that its Hunyuan-MT-7B translation model has been officially open-sourced. The model performed excellently in international machine translation competitions, winning 30 first places, demonstrating its strong translation capabilities. Hunyuan-MT-7B is a lightweight translation model with only 700 million parameters, supporting the translation of 33 languages and five Sino-Tibetan languages and dialects, offering comprehensive translation capabilities.
At the same time, Tencent also launched the Hunyuan-MT-Chimera-7B translation integration model. This model can generate higher-quality translations by using the original text and multiple translations provided by different translation models. It supports integration with other models such as deepseek, and is particularly suitable for users and scenarios requiring professional translation.
Compared to traditional machine translation methods, translation technology based on large models can better understand the context and background of the conversation, providing more accurate and natural translation results. The performance of Hunyuan-MT-7B is impressive, as it successfully translated complex texts such as slang, ancient poetry, and abbreviations in social conversations, truly achieving fast and accurate translation.
In the recently concluded ACL WMT2025 International Conference on Computational Linguistics competition, Hunyuan-MT-7B won 30 first places in 31 language competitions, proving its absolute leading position. These languages include common ones like Chinese, English, Japanese, as well as less commonly used languages such as Czech and Marathi. During the competition, despite the limitations on the model's parameter size, Hunyuan-MT-7B still outperformed many models with larger parameters.
The superiority of Hunyuan-MT-7B is not only reflected in translation quality but also in its computing efficiency and deployment friendliness, which are its highlights. Compared to large models, this model has an advantage in inference speed and can handle more translation requests under the same hardware conditions. In addition, based on Tencent's self-developed AngelSlim large model compression tool, the inference performance of Hunyuan-MT-7B has improved by 30%.
Currently, Tencent's Hunyuan translation model has been applied in multiple businesses, including Tencent Meeting, Enterprise WeChat, QQ Browser, and others, enhancing user experience. Since its launch in 2023, Tencent Hunyuan has actively open-sourced, striving to promote the sharing and development of large model technology. In the future, Tencent will continue to open up more models and technologies, working together with the community to build an open large model ecosystem.
Experience address: https://hunyuan.tencent.com/modelSquare/home/list (Click 'Read More' at the end to access directly)
Github: https://github.com/Tencent-Hunyuan/Hunyuan-MT/
HugginFace: https://huggingface.co/collections/tencent/hunyuan-mt-68b42f76d473f82798882597
Key points:
🌟 The Hunyuan-MT-7B model won 30 first places in international competitions, demonstrating translation strength!
⚙️ This model supports 33 languages, has high computational efficiency, is easy to deploy, and is suitable for various scenarios!
📥 It is now open-source, and users can download and experience it on the official website and platforms like Github, promoting technical sharing!
