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:
- 6369c1934386a59ea705ebc5baa1b10004ef2d3bfe123d3fa06d6df77d3ed587
- Size of remote file:
- 5.32 GB
- SHA256:
- b0105f0f3fed536f4791cd36cb50f0b25e7c8756a76503d9dc03858c7a648ddb
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