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:
- 8db7712de100d34d163586137a500d694e98ccf055aca89cde9667295d6aceb0
- Size of remote file:
- 5.3 GB
- SHA256:
- a7005d0b4b3dc63abe8bfd5d49e2149cc50e75de510ca6b12c03c93fdef737fd
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