mlx-community/Hy-MT2-1.8B-4bit
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Part of the Hy-MT2 MLX collection.
Hy-MT2-1.8B-4bit (MLX)
Apple MLX weights for Tencent-Hunyuan/Hy-MT2-1.8B, Tencent Hunyuan's multilingual translation model.
TL;DR
Quick Start
pip install mlx-lm
PROMPT=$'Translate the following text into English. Note that you should only output the translated result without any additional explanation:\n\n今天天气真好。'
mlx_lm.generate --model mlx-community/Hy-MT2-1.8B-4bit \
--prompt "$PROMPT" \
--max-tokens 128 \
--temp 0.7 \
--top-p 0.6 \
--top-k 20For conversion and staging tools:
git clone https://github.com/ailuntx/Hy-MT2-MLX.git
cd Hy-MT2-MLX
python scripts/infer_mlx.py --model /path/to/mlx/checkpoint --text "今天天气真好。" --target-lang EnglishVariants
Conversion Notes
Validation
Local Apple Silicon is the intended runtime. The Hy-MT2 HF Space starts and loads the model on Linux CPU fallback, but cpu-basic can exceed request timeouts even for very small generation tests.
License
License follows the upstream Tencent Hunyuan release.
Citation
@misc{hymt2-mlx,
title = {Hy-MT2-MLX: Apple MLX port of Hy-MT2},
author = {ailuntx},
year = {2026},
url = {https://github.com/ailuntx/Hy-MT2-MLX},
}
@misc{zheng2026hymt2familyfastefficient,
title = {Hy-MT2: A Family of Fast, Efficient and Powerful Multilingual Translation Models in the Wild},
author = {Mao Zheng and Zheng Li and Tao Chen and Bo Lv and Mingrui Sun and Mingyang Song and Jinlong Song and Hong Huang and Decheng Wu and Hai Wang and Yifan Song and Yanfeng Chen and Guanwei Zhang},
year = {2026},
eprint = {2605.22064},
archivePrefix = {arXiv},
primaryClass = {cs.CL},
url = {https://arxiv.org/abs/2605.22064},
}