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mlx-community/Hy-MT2-1.8B-4bit

sourceHugging Faceapache-2.0updated 4mo agoView on Hugging Face
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Model Card

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

Variant1.8B 4-bit
Best forsmallest 1.8B checkpoint and Space load smoke test
Runtime`mlx-lm`
Official code`Tencent-Hunyuan/Hy-MT2`
MLX code`ailuntx/Hy-MT2-MLX`
HardwareApple Silicon recommended; HF Spaces CPU fallback is only a load smoke test

Quick Start

bash
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 20

For conversion and staging tools:

bash
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 English

Variants

VariantBest for
`Hy-MT2-1.8B-bfloat16`high-quality 1.8B baseline
`Hy-MT2-1.8B-8bit`smaller 1.8B checkpoint
`Hy-MT2-1.8B-4bit`smallest 1.8B checkpoint
`Hy-MT2-7B-bfloat16`high-precision 7B conversion
`Hy-MT2-7B-8bit`7B size/quality middle ground
`Hy-MT2-7B-4bit`smallest 7B checkpoint

Conversion Notes

ComponentSourceMLX handling
model weightsofficial dense Hy-MT2 checkpointconverted with MLX/mlx-lm tooling
tokenizer/configofficial checkpointcopied through for mlx-lm loading
quantized variantsbfloat16 MLX baselinederived with MLX quantization settings

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

bibtex
@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},
}