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:
- 9ab5f21a5b04e7ab79e01585176eab05926a5e2b13cae95f2b26366f23aea652
- Size of remote file:
- 3.87 GB
- SHA256:
- e9f7e9512cb905c6c602a95329595fd1e49c35a65918b770a45ab4e4c7c93e7b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.