Instructions to use dgrauet/void-model-mlx-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dgrauet/void-model-mlx-q8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download dgrauet/void-model-mlx-q8 --local-dir void-model-mlx-q8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
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Rename the build note key so it cannot collide with the per-component notes table
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Rename the build note key so it cannot collide with the per-component notes table
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Generate the card from the recipe: declare the quantization instead of hand-writing it
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Generate the card from the recipe: declare the quantization instead of hand-writing it
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Add split_model.json so the repo identifies its recipe
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Add model card
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Add int8 weights (group_size 64), config, quantize_config — repo was empty (#dogfood 2026-07-20)
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initial commit
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