Instructions to use zviratko/gemma-4-12B-it-oQ4e-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use zviratko/gemma-4-12B-it-oQ4e-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gemma-4-12B-it-oQ4e-fp16 zviratko/gemma-4-12B-it-oQ4e-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 355 Bytes
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library_name: mlx
tags:
- mlx
- oq
- quantized
base_model:
- google/gemma-4-12B-it
---
# gemma-4-12B-it-oQ4e-fp16
This model was quantized using [oQ](https://github.com/jundot/omlx) (oMLX v0.5.1) mixed-precision quantization.
## Quantization details
- **Model type**: gemma4_unified
- **Bits**: 4
- **Group size**: 64
- **Format**: MLX safetensors |