Instructions to use dgrauet/void-model-mlx-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dgrauet/void-model-mlx-q4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir void-model-mlx-q4 dgrauet/void-model-mlx-q4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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README.md
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- `void_pass1.safetensors` (4.01 GB)
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- `split_model.json` (1.40 KB)
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- `void_pass1.safetensors` (4.01 GB)
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