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:
- 01d1d4d192d9ed25eea036086bdeb63ca777221d3ec2fbecbb8bc7ba887b9395
- Size of remote file:
- 5.3 GB
- SHA256:
- 45bcc01798bb53726e271213c30fce448c769b462f01b16e876aabbfe617c9b2
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