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:
- befe705a91870a31b977f0c29b18ce36ac1d515e6749c325a403fb283ff61f09
- Size of remote file:
- 118 kB
- SHA256:
- 8357101f5a381f7bf08a866536d7b7905fdc3a3f48ff44fd9cae982459171d1c
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