Instructions to use brainworkup/gemma-4-12B-it-assistant-oQ8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use brainworkup/gemma-4-12B-it-assistant-oQ8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gemma-4-12B-it-assistant-oQ8 brainworkup/gemma-4-12B-it-assistant-oQ8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
This quantization was uploaded on 2026-06-06 and replaces a previous version. If you downloaded this model before this date, please re-download for the updated weights.
gemma-4-12B-it-assistant-oQ8
This model was quantized using oQ (oMLX v0.4.2rc1) mixed-precision quantization.
Quantization details
- Model type: gemma4_unified_assistant
- Bits: 8
- Group size: 64
- Format: MLX safetensors
- Downloads last month
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Model size
0.1B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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8-bit
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