Instructions to use osmapi/MiniMax-M2-THRIFT-55-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use osmapi/MiniMax-M2-THRIFT-55-MLX-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MiniMax-M2-THRIFT-55-MLX-4bit osmapi/MiniMax-M2-THRIFT-55-MLX-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Could you please quantize a 6-bit or 6.5-bit model that requires 93-97GB of memory? Such a model could be deployed on a Mac with 128GB of RAM. Thank you very much!
#1
by mimeng1990 - opened
Could you please quantize a 6-bit or 6.5-bit model that requires 93-97GB of memory? Such a model could be deployed on a Mac with 128GB of RAM. Thank you very much!