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:
- 91277ca60b3fa4ec2f90706115271af0b48b18313a0d3a0b0ad8e395aaa3b1a2
- Size of remote file:
- 5.25 GB
- SHA256:
- e6acf228ecb6b8215fb27ab7b346142c66e73e51f86a1af8d04156b72ad26b34
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