Instructions to use nabi-chan/Qwopus3.6-35B-A3B-v1-MLX-oQ8-MTP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use nabi-chan/Qwopus3.6-35B-A3B-v1-MLX-oQ8-MTP with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwopus3.6-35B-A3B-v1-MLX-oQ8-MTP nabi-chan/Qwopus3.6-35B-A3B-v1-MLX-oQ8-MTP
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- ec7a72468a906fc64826449ad6683fc68c27ad1ea29588feb55f9b9f09865461
- Size of remote file:
- 5.13 GB
- SHA256:
- ec0a34454f5764b61bc8652190c28a1c25d062d7c864b57bed21015cce12186d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.