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:
- 07ffb083916d082fae7e8528cd7028d154d613e00fc8d0234ddf47a4039b7cc8
- Size of remote file:
- 5.3 GB
- SHA256:
- ad0bd9d116c586aa47fceba90973c3df8852638dea22383c2d677460c0c0f38d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.