Instructions to use McG-221/Slimaki-24B-v1-mlx-8Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use McG-221/Slimaki-24B-v1-mlx-8Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Slimaki-24B-v1-mlx-8Bit McG-221/Slimaki-24B-v1-mlx-8Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 52c31c108e17bf4ad6bf0df8d143775b9483b3d25d2b2382a582e4f2a55a3c5d
- Size of remote file:
- 5.31 GB
- SHA256:
- b6a229fed8c1a085cd1334914e776421a53defd5415fe11867b667d5e1d96682
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