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:
- bd58682c4ca61164e695c8a67636f9d50956155f01d875514bfa7c0e0f14d5ac
- Size of remote file:
- 4.98 GB
- SHA256:
- 58aa2e438ff73f730e3564866a41f2add6da4b9e63a341f766ac996ea45dd627
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.