Instructions to use dgrauet/void-model-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dgrauet/void-model-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir void-model-mlx dgrauet/void-model-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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README.md
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## Files
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- `config.json` (376.00 B)
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- `split_model.json` (
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- `void_pass1.safetensors` (10.38 GB)
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- `void_pass2.safetensors` (10.38 GB)
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## Files
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- `config.json` (376.00 B)
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- `split_model.json` (1.18 KB)
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- `void_pass1.safetensors` (10.38 GB)
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- `void_pass2.safetensors` (10.38 GB)
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