Instructions to use mlx-community/VisualQuality-R1-7B-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/VisualQuality-R1-7B-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir VisualQuality-R1-7B-bf16 mlx-community/VisualQuality-R1-7B-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- b1386d70854cfefd60e569ee033399ce5db5f1e9b001eabb74e0ab417a39a1a9
- Size of remote file:
- 11.4 MB
- SHA256:
- 5eee858c5123a4279c3e1f7b81247343f356ac767940b2692a928ad929543214
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