Instructions to use Neo39982/Behemoth-R1-123B-v2-mlx-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Neo39982/Behemoth-R1-123B-v2-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Behemoth-R1-123B-v2-mlx-4Bit Neo39982/Behemoth-R1-123B-v2-mlx-4Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- d50ce4b1fb406398ebf21e4f4551e0086d6c120c4673057a35760603c7f6e816
- Size of remote file:
- 226 MB
- SHA256:
- 349771ad8a9c737f329bdfdc0f8058aedf86f1cff40a4465330dc27ef23d59ae
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