Instructions to use mlx-community/Minitron-4B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Minitron-4B-Base with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Minitron-4B-Base mlx-community/Minitron-4B-Base
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- b5276e33ed69edde8f76b286996fc1775d00d281dda71d605ac001e82f8f44a7
- Size of remote file:
- 18.1 MB
- SHA256:
- 83d0648daa0467fb02ddef7ff25460321dab2fbb20c280ae0bc1ea8052f7df90
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.