Instructions to use mlx-community/Nemotron-Mini-4B-Instruct-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Nemotron-Mini-4B-Instruct-4bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Nemotron-Mini-4B-Instruct-4bit-mlx mlx-community/Nemotron-Mini-4B-Instruct-4bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- cd7c5a881cb5bb35c7a6223f2b7d74a3e6a646b7d6a1255c70471af22efb11be
- Size of remote file:
- 34.8 MB
- SHA256:
- b6ad04b2b0671068c30ca001b365f036dda0cad9915366b5a6f1c5afe33a0d71
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