Instructions to use avneetsb/diffusiongemma-26B-A4B-it-oQ4-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use avneetsb/diffusiongemma-26B-A4B-it-oQ4-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir diffusiongemma-26B-A4B-it-oQ4-fp16 avneetsb/diffusiongemma-26B-A4B-it-oQ4-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
This quantization was uploaded on 2026-06-18 and replaces a previous version. If you downloaded this model before this date, please re-download for the updated weights.
diffusiongemma-26B-A4B-it-oQ4-fp16
This model was quantized using oQ (oMLX v0.4.4) mixed-precision quantization.
Quantization details
- Model type: diffusion_gemma
- Bits: 4
- Group size: 64
- Format: MLX safetensors
- Downloads last month
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Model size
4B params
Tensor type
F16
·
U32 ·
Hardware compatibility
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4-bit
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