Instructions to use TiGa-RCE/gemma-4-12B-it-oQ2e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TiGa-RCE/gemma-4-12B-it-oQ2e with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gemma-4-12B-it-oQ2e TiGa-RCE/gemma-4-12B-it-oQ2e
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
This quantization was uploaded on 2026-09-10 and replaces a previous version. If you downloaded this model before this date, please re-download for the updated weights.
gemma-4-12B-it-oQ2e
This model was quantized using oQ (oMLX v0.6.4) mixed-precision quantization.
Quantization details
- Model type: gemma4_unified
- Bits: 2
- Group size: 64
- Format: MLX safetensors
- Downloads last month
- 37
Model size
12B params
Tensor type
U32
·
BF16 ·
Hardware compatibility
Log In to add your hardware
2-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support