Instructions to use TiGa-RCE/gemma-4-12B-it-oQ4e 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-oQ4e with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download TiGa-RCE/gemma-4-12B-it-oQ4e --local-dir gemma-4-12B-it-oQ4e
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Download README.md from TiGa-RCE/gemma-4-12B-it-oQ4e: direct link, hf CLI and curl.
- Browser
- Download file 508 Bytes
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https://huggingface.co/TiGa-RCE/gemma-4-12B-it-oQ4e/resolve/main/README.md
- Command line
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hf download hf://TiGa-RCE/gemma-4-12B-it-oQ4e/README.md
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curl -L -o README.md https://huggingface.co/TiGa-RCE/gemma-4-12B-it-oQ4e/resolve/main/README.md
508 Bytes
| library_name: mlx | |
| tags: | |
| - mlx | |
| - oq | |
| - quantized | |
| > [!IMPORTANT] | |
| > 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-oQ4e | |
| This model was quantized using [oQ](https://github.com/jundot/omlx) (oMLX v0.6.4) mixed-precision quantization. | |
| ## Quantization details | |
| - **Model type**: gemma4_unified | |
| - **Bits**: 4 | |
| - **Group size**: 64 | |
| - **Format**: MLX safetensors | |