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:
- 6de63440c1191a84c6d66733ce358627b2f1acd6f9f8efeeee8c53de12320e01
- Size of remote file:
- 4.32 GB
- SHA256:
- acf8a1f42ca92cb33cdd98ad47207ffaa373a14d8aa596e43210a65775da6ffa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.