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:
- b7c0c4c9e766e7dbde2e6b92975966f5d8556a3616033ce32dfcea6a96cc63bd
- Size of remote file:
- 5.25 GB
- SHA256:
- 97f2ef2ad5991148c0a3e36191088b1268edd6b82835bc267a852fb5ede7ad45
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