Instructions to use GreenBitAI/Qwen-3-235B-A22B-layer-mix-bpw-4.0-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use GreenBitAI/Qwen-3-235B-A22B-layer-mix-bpw-4.0-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen-3-235B-A22B-layer-mix-bpw-4.0-mlx GreenBitAI/Qwen-3-235B-A22B-layer-mix-bpw-4.0-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- bc64c7b1c0348139647dc47709fc6da50923e5e9da0346892a9142051c1d1413
- Size of remote file:
- 5.29 GB
- SHA256:
- a116f768f356c9306358f57eb6046f4b59857b11e8bc6d4736d71e52e6569741
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.