Instructions to use WaveCut/QwenLong-L1-32B-mlx-8Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use WaveCut/QwenLong-L1-32B-mlx-8Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir QwenLong-L1-32B-mlx-8Bit WaveCut/QwenLong-L1-32B-mlx-8Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- ad938da75d52be99990666672b01308fab24569f68027310edc63d5507248327
- Size of remote file:
- 11.4 MB
- SHA256:
- df4e7ca41f3f7f64a5b6945b3bf69d8b620334fdde07a1e8932f522775798602
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.