Instructions to use brainworkup/gemma-4-12B-it-assistant-oQ8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use brainworkup/gemma-4-12B-it-assistant-oQ8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gemma-4-12B-it-assistant-oQ8 brainworkup/gemma-4-12B-it-assistant-oQ8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 18dbcc705c7f507f8d37bb28c5b58325e55304bfe8ff3cd8f6e44f5e90a436d3
- Size of remote file:
- 32.2 MB
- SHA256:
- c001d9ada50af662c94f5ab17ec7e09f6438d1bec8246c47fee6510693d8de35
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.