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:
- 86b5388b83c16cfb3671a854a7a151066b04bb407d50974d99c03c4890a1689f
- Size of remote file:
- 5.25 GB
- SHA256:
- 6efbda73ee14e1fae66131fd32f85ed64c3ab35e4685b049a03d56f2f1192e3d
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