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:
- 5d76c9dfc6a962edf607ae911fbb3d99f86a5ec1a6979d589f3620f6d30401ac
- Size of remote file:
- 5.13 GB
- SHA256:
- cd62769a7c42aac3a34d1a60243f0f495d772bd4f5e1a6e2b00c3bafdeab9a3f
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