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:
- 5018b7e2bc447e7e80530bf17e7f9aee4260e6dec5aa8179fb5146a659846aa2
- Size of remote file:
- 5.24 GB
- SHA256:
- 249fe2be937d2cf17df3d3a7cad8d2c81a58e4ef6d79ca91d936b79d621975c7
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