Instructions to use dch82/gemma-4-e2b-it-oQ8e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dch82/gemma-4-e2b-it-oQ8e with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download dch82/gemma-4-e2b-it-oQ8e --local-dir gemma-4-e2b-it-oQ8e
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
This quantization was uploaded on 2026-08-08 and replaces a previous version. If you downloaded this model before this date, please re-download for the updated weights.
gemma-4-e2b-it-oQ8e
This model was quantized using oQ (oMLX v0.5.7) mixed-precision quantization.
Quantization details
- Model type: gemma4
- Bits: 8
- Group size: 64
- Format: MLX safetensors
- Downloads last month
- 7
Model size
5B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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8-bit
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