Instructions to use GreenBitAI/Qwen-3-30B-A3B-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-3-30B-A3B-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-3-30B-A3B-layer-mix-bpw-4.0-mlx GreenBitAI/Qwen-3-30B-A3B-layer-mix-bpw-4.0-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 715123d51f3bbdfbcd393644510e72829f29fb768ac150b0be914167b21fb69b
- Size of remote file:
- 5.3 GB
- SHA256:
- c17e446f35133db0bb3efb7ef624f8fb8f73bd9e6c0ef44d839eefdc56eb4bc6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.