Instructions to use baa-ai/GLM-5.1-RAM-270GB-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-270GB-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir GLM-5.1-RAM-270GB-MLX baa-ai/GLM-5.1-RAM-270GB-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- afebe81c8833264b99f16fabef074255148766129f09b7df2d29efea52d25099
- Size of remote file:
- 4.32 GB
- SHA256:
- d22fd76293dddb0a2b07b649ee956e2a91a424ea5b3e5055960f1a31130edab0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.