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:
- 4bf6ba0c287065982fc6fff2acfeccf37f47b86a15549ae5668ed4eee6c7402f
- Size of remote file:
- 5.13 GB
- SHA256:
- 16f7f548957eba6ead886664bb9e6b424b68e601604b07305a74245985fd9b35
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