Instructions to use pipenetwork/Nemotron-Labs-TwoTower-30B-A3B-mlx-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use pipenetwork/Nemotron-Labs-TwoTower-30B-A3B-mlx-6bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Nemotron-Labs-TwoTower-30B-A3B-mlx-6bit pipenetwork/Nemotron-Labs-TwoTower-30B-A3B-mlx-6bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 9c1720835fe181c29375b69c0f2ca50e82a251fae80b8e48ab79ede4c4654725
- Size of remote file:
- 4.96 GB
- SHA256:
- f6bfa5c4eedbae6e5484391fa2cc7fca2e00482bd219363a56656129baca4a20
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.