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:
- 3f1d13ce0d583cc563e03d30395a4020b64e467388ffa3f2a02aee03bf71c191
- Size of remote file:
- 5.25 GB
- SHA256:
- 15c680b01cb5365370ccfbd7b3444a4079d811b7bfffb467530e7bdfaa2784ca
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