Instructions to use Spiteman/gemma4-12-oQ4e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Spiteman/gemma4-12-oQ4e with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gemma4-12-oQ4e Spiteman/gemma4-12-oQ4e
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 339 Bytes
5dcb906 552757d 5dcb906 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ---
library_name: mlx
tags:
- mlx
- oq
- quantized
---
# gemma4-12-oQ4e
This model was quantized using [oQ](https://github.com/jundot/omlx) (oMLX v0.5.2.dev1) mixed-precision quantization. Updated from 15.07.2026
## Quantization details
- **Model type**: gemma4_unified
- **Bits**: 4
- **Group size**: 64
- **Format**: MLX safetensors
|