Instructions to use zaydiscold/Qwopus3.6-35B-A3B-v1-MLX-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use zaydiscold/Qwopus3.6-35B-A3B-v1-MLX-bf16 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-bf16 zaydiscold/Qwopus3.6-35B-A3B-v1-MLX-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 82b3c89d02edd64c034c3334387f18fd2d28c0fe9aa226ec30bb0e3187b6322b
- Size of remote file:
- 5.04 GB
- SHA256:
- 5c1f785e53c2fbcb45c09251c70cd44611f9abd6922f4ade86688a69a061306c
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