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:
- 3a92807c8bb1a9b1b0461f657e2f13642a42f2fb61790b2f303eae0862d2efc5
- Size of remote file:
- 3.84 GB
- SHA256:
- 12ba270eda5f079cfccc229272f634130f5855109f22e7e56c926dcedb8003da
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