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:
- ad89a5d57ea7a416179f46a20b60cba09ccadd92033004946bc584fd843e67a6
- Size of remote file:
- 5.3 GB
- SHA256:
- df2966c8ef90597ec2a073026b24dc3d7ee2cffad2fd6b624e3258957157082d
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