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:
- ed3f8f920f2aa4243f607bd71e09274517f85850e124822f834ca7fe4d2433c0
- Size of remote file:
- 2.57 GB
- SHA256:
- 793d3e6bf228c04d65d0b8a98476784b311b1bd3c2bbeb0c68709aac6331590e
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