Instructions to use mlx-community/gemma-4-e2b-it-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/gemma-4-e2b-it-6bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gemma-4-e2b-it-6bit mlx-community/gemma-4-e2b-it-6bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- 1698a50d31e66986232ec7664d7b996c68ffbd05d9aa1e88abfabb6d1f5d02cb
- Size of remote file:
- 4.74 GB
- SHA256:
- 1ce6f5c8d5daf306e71824cfc752020b70fc9262ff201a577d18d62cc446d5bc
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