Instructions to use tevino/Hy-MT2-1.8B-oQ5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use tevino/Hy-MT2-1.8B-oQ5 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Hy-MT2-1.8B-oQ5 tevino/Hy-MT2-1.8B-oQ5
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Hy-MT2-1.8B-oQ5
This model was quantized using oQ (oMLX v0.3.9) mixed-precision quantization.
Quantization details
- Model type: hunyuan_v1_dense
- Bits: 5
- Group size: 64
- Format: MLX safetensors
- Downloads last month
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Model size
0.3B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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5-bit
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Model tree for tevino/Hy-MT2-1.8B-oQ5
Base model
tencent/Hy-MT2-1.8B