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:
- 910002152e057d1fe1bfa3039dbb87e7a62bf6c975fd829f6c4c35a4f2ad3b7e
- Size of remote file:
- 5.3 GB
- SHA256:
- 967751818c78ec7d8898a0579b40ecaf89b2f48411f4fc21d317093f228c8280
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