Instructions to use Jundot/MiniMax-M2.7-oQ2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Jundot/MiniMax-M2.7-oQ2 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MiniMax-M2.7-oQ2 Jundot/MiniMax-M2.7-oQ2
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
| library_name: mlx | |
| tags: | |
| - mlx | |
| - oq | |
| - quantized | |
| # MiniMax-M2.7-oQ2 | |
| This model was quantized using [oQ](https://github.com/jundot/omlx) (oMLX v0.3.7) mixed-precision quantization. | |
| ## Quantization details | |
| - **Model type**: minimax_m2 | |
| - **Bits**: 2 | |
| - **Group size**: 64 | |
| - **Format**: MLX safetensors | |