Instructions to use baa-ai/Nemotron-3-Super-120B-A12B-MINT-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use baa-ai/Nemotron-3-Super-120B-A12B-MINT-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Nemotron-3-Super-120B-A12B-MINT-MLX baa-ai/Nemotron-3-Super-120B-A12B-MINT-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 32569e44702186b12870b6b1de657b222323b32cad882ab71cf35b8e50e31325
- Size of remote file:
- 17.1 MB
- SHA256:
- 623c34567aebb18582765289fbe23d901c62704d6518d71866e0e58db892b5b7
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