Instructions to use ruteniocosta/gemma-4-26B-A4B-it-assistant-oQ8-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ruteniocosta/gemma-4-26B-A4B-it-assistant-oQ8-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gemma-4-26B-A4B-it-assistant-oQ8-fp16 ruteniocosta/gemma-4-26B-A4B-it-assistant-oQ8-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- c7a89f2b005d2283df09a771b0411c21bafc1e363736d2b5d48ea7f48c7e5cb4
- Size of remote file:
- 446 MB
- SHA256:
- 6ca3c449828c6b6acfee7f939f2c1796b6c990484a96b534d01f0635fb6080fd
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