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:
- 965e75f84b4eac2baae6a39ce8b65a183bbe716cc74813d0fff78951ab44ac14
- Size of remote file:
- 187 kB
- SHA256:
- 9e601546f0c7e793c5a255f88398fe4319159ddf3e35c28a8533d15c7a48d9f6
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