Instructions to use mlx-community/GLM-4.5V-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/GLM-4.5V-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir GLM-4.5V-8bit mlx-community/GLM-4.5V-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- c1cc42e6f1cd9c75024d9e394b9e58aa154ddac7979ed6a17c2a48c88ca2e89f
- Size of remote file:
- 4.98 GB
- SHA256:
- f99ddf8adb1f24896bc3ae364494dadfb5185c2e0fde66b792699013f3243d58
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