HY-MT (Hunyuan Translation) is a high-quality multilingual machine translation model suite developed to support mutual translation across dozens of languages with strong performance even at smaller model scales. It ships with both an 1.8 B parameter model and a larger 7 B model, the latter optimized not only for direct translation but also for formatted and contextualized output, allowing better handling of terminology and mixed-language content. The project emphasizes both speed and quality, with the smaller model able to be quantized and deployed on edge devices for real-time translation tasks without requiring large server infrastructure. Terminology intervention and contextual translation features give users control over how specific terms or styles are rendered, which is important for technical or domain-specific content.

Features

  • Multilingual translation across 30+ languages
  • Compact model designed for edge device inference
  • Contextual translation support
  • Terminology intervention for customized outputs
  • Multiple model sizes (1.8 B and 7 B)
  • Integration via Transformers ecosystem

Project Samples

Project Activity

See All Activity >

Categories

AI Models

License

MIT License

Follow HY-MT

HY-MT Web Site

Other Useful Business Software
AestheticsPro Medical Spa Software Icon
AestheticsPro Medical Spa Software

Our new software release will dramatically improve your medspa business performance while enhancing the customer experience

AestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of HY-MT!

Additional Project Details

Programming Language

Python

Related Categories

Python AI Models

Registered

2026-01-28