Hy-MT2 keeps gaining momentum.
Since its open-source release in May:
→ 700K+ downloads 🌟
→ Hy-MT2-1.8B reached #1 on the Hugging Face trending, with 30B-A3B reaching #4 🥇
→ 70+ verified product and project integrations 💻
→ Broader Hy-MT ecosystem support across Apple MLX-LM, Microsoft ONNX Runtime, NVIDIA NeMo, LLaMA-Factory, and more 👯
→ Real-world adoption, including real-time multilingual translation of livestream comments on Bilibili 📺
And now, Hy-MT2-30B-A3B is officially available in GGUF format—addressing one of the community’s most-requested deployment needs and making local inference easier.
Ready to run Hy-MT2-30B-A3B locally? Try the new GGUF release:
https://t.co/adbLlTVV7I
Explore Hy-MT2:
HuggingFace：https://t.co/4J8gzMcENW
Modelscope：https://t.co/xh5vEYk9zQ
Github：https://t.co/EekzbAcLZp
#TencentHy #HyMT2 #OpenSource
open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
Why it matters
A GGUF build of the 30B-A3B translation model is the format that llama.cpp-family runtimes actually load, so local and offline translation deployment stops requiring a conversion step of your own.
