Instructions to use mlx-community/gemma-4-e2b-5bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/gemma-4-e2b-5bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gemma-4-e2b-5bit mlx-community/gemma-4-e2b-5bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- 0a2dd685b8be5640c5101f1e49625dd7e12e8d5ee283eae6143280ebcad1c724
- Size of remote file:
- 4.16 GB
- SHA256:
- 62de41f53b73f49a0eb043d23818c600859069625b319590edebc406a4d43bb5
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