Instructions to use RepublicOfKorokke/gemma-4-E4B-it-assistant-oQ8-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use RepublicOfKorokke/gemma-4-E4B-it-assistant-oQ8-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gemma-4-E4B-it-assistant-oQ8-fp16 RepublicOfKorokke/gemma-4-E4B-it-assistant-oQ8-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
gemma-4-E4B-it-assistant-oQ8-fp16
This model was quantized using oQ (oMLX v0.3.9.dev1) mixed-precision quantization.
Quantization details
- Model type: gemma4_assistant
- Bits: 8
- Group size: 64
- Format: MLX safetensors
- Downloads last month
- 500
Model size
22.3M params
Tensor type
F16
路
U32 路
I64 路
Hardware compatibility
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8-bit
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