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:
- e5c222ba7356562449dd79883d728d0e6b965546aeab7aafe75b3c2bb5d46e22
- Size of remote file:
- 4.07 GB
- SHA256:
- 699898da187ca776626577ec93dc84a79fe1fb397f32c735ce610e291aefecb2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.