Instructions to use wezzel98765/gemma-4-12B-oQ5-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use wezzel98765/gemma-4-12B-oQ5-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gemma-4-12B-oQ5-fp16 wezzel98765/gemma-4-12B-oQ5-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 1b891860e7ed2a0bf4a972adf31bc29fb9d1911d603604998e3dcbb24a7e3a6f
- Size of remote file:
- 32.2 MB
- SHA256:
- 12bac982b793c44b03d52a250a9f0d0b666813da566b910c24a6da0695fd11e6
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