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:
- 2531e0783124a2158fadf63b280c64efa9e04c0a9f0efeec0035eb5eb83193a7
- Size of remote file:
- 5.35 GB
- SHA256:
- c0c6a570dc2cd7ead63231b0c09415189e0faf4689349653cc36e1a05c0eb5fe
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