Safetensors
MLX
English
mlx-lm
minimax_m2
quantization
mixed_3_6
minimax
custom_code
4-bit precision
Instructions to use petergilani/MiniMax-M2.5-mix3-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use petergilani/MiniMax-M2.5-mix3-6bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MiniMax-M2.5-mix3-6bit petergilani/MiniMax-M2.5-mix3-6bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
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