Instructions to use leonsarmiento/MechaEpstein-8000-6bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use leonsarmiento/MechaEpstein-8000-6bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MechaEpstein-8000-6bit-mlx leonsarmiento/MechaEpstein-8000-6bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio

- Xet hash:
- 6c4eac34766174dfa981094194bdf681728ae8c1e90e8afb3997a09245e325e0
- Size of remote file:
- 195 kB
- SHA256:
- 2ea7ea8b3888990a195a3a82cc76a471833e4a0d331eec64ef5d741c5b339a67
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