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] hf download Neo39982/Behemoth-R1-123B-v2-mlx-4Bit --local-dir Behemoth-R1-123B-v2-mlx-4Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download model-00010-of-00014.safetensors from Neo39982/Behemoth-R1-123B-v2-mlx-4Bit: direct link, hf CLI and curl.
- Browser
- Download file 5.25 GB
-
https://huggingface.co/Neo39982/Behemoth-R1-123B-v2-mlx-4Bit/resolve/main/model-00010-of-00014.safetensors
- Command line
-
hf download hf://Neo39982/Behemoth-R1-123B-v2-mlx-4Bit/model-00010-of-00014.safetensors
-
curl -L -o model-00010-of-00014.safetensors https://huggingface.co/Neo39982/Behemoth-R1-123B-v2-mlx-4Bit/resolve/main/model-00010-of-00014.safetensors
5.25 GB
- Xet hash:
- 8d33039a8883e4fcd44c9d7b189d30b1d49fdfd61103261fa3055c5b453910e1
- Size of remote file:
- 5.25 GB
- SHA256:
- 4b1ad0fd80bdcc17730bb974a3e66e5da059d738a6c1da3fad36a6e362b047cb
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