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:
- 078f2e02c3de9882fced967fc7e4ea4912bd64b13290e462380972a583079ff5
- Size of remote file:
- 5.37 GB
- SHA256:
- fdd66245d64fa3c4c1f8c34d88f836043e0a96b60ad936d2e96aa6513e75755d
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