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:
- 24f31c2d49b9c60dd546fc8069fb51e03b3789fb74e80945273f3f4220f23b05
- Size of remote file:
- 133 kB
- SHA256:
- d51eae786c7728055430699d8fc91de918fe2affb46f770fb2244bcb7d62d721
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