Instructions to use baa-ai/GLM-5.1-RAM-420GB-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use baa-ai/GLM-5.1-RAM-420GB-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir GLM-5.1-RAM-420GB-MLX baa-ai/GLM-5.1-RAM-420GB-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 32e41efec7ba1317786a7b82f0dc60ed8d003f9de61fda0c54ad57c753d9d830
- Size of remote file:
- 5.14 GB
- SHA256:
- 27398cf861a2b3ff6a3d72e7e7a264f02263dd6700fac43fe53352f4508882c0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.