Instructions to use Fmuaddib/WhiteRabbitNeo-33B-v1.5-mlx-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Fmuaddib/WhiteRabbitNeo-33B-v1.5-mlx-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir WhiteRabbitNeo-33B-v1.5-mlx-fp16 Fmuaddib/WhiteRabbitNeo-33B-v1.5-mlx-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- d2a9911a2e665c583992dbfc76d1a2ec0816eaccd6fafa57180c8cda945f923f
- Size of remote file:
- 5.3 GB
- SHA256:
- 6a3f905753ebeb9fe2f8d2004e2fbcebe97a83db237a85ecb7ed7eb399f7e85f
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