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
- Atomic Chat
Download model-00013-of-00014.safetensors from Neo39982/Behemoth-R1-123B-v2-mlx-4Bit: direct link, hf CLI and curl.
- Browser
- Download file 5.27 GB
-
https://huggingface.co/Neo39982/Behemoth-R1-123B-v2-mlx-4Bit/resolve/main/model-00013-of-00014.safetensors
- Command line
-
hf download hf://Neo39982/Behemoth-R1-123B-v2-mlx-4Bit/model-00013-of-00014.safetensors
-
curl -L -o model-00013-of-00014.safetensors https://huggingface.co/Neo39982/Behemoth-R1-123B-v2-mlx-4Bit/resolve/main/model-00013-of-00014.safetensors
5.27 GB
- Xet hash:
- a340fb964b151beafc1b06c659fb1ac19fcd338a866549f33ffc74d66d566b42
- Size of remote file:
- 5.27 GB
- SHA256:
- 0949bb1c36450b0453559a6f62966647b91bdc01f393ed2912813d577a11b909
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