Instructions to use avneetsb/gemma-4-31B-it-qat-oQ2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use avneetsb/gemma-4-31B-it-qat-oQ2 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download avneetsb/gemma-4-31B-it-qat-oQ2 --local-dir gemma-4-31B-it-qat-oQ2
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
This quantization was uploaded on 2026-06-09 and replaces a previous version. If you downloaded this model before this date, please re-download for the updated weights.
gemma-4-31B-it-qat-oQ2
This model was quantized using oQ (oMLX v0.4.2) mixed-precision quantization.
Quantization details
- Model type: gemma4
- Bits: 2
- Group size: 64
- Format: MLX safetensors
- Downloads last month
- 16
Model size
31B params
Tensor type
U32
·
BF16 ·
Hardware compatibility
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2-bit
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