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-00003-of-00014.safetensors from Neo39982/Behemoth-R1-123B-v2-mlx-4Bit: direct link, hf CLI and curl.
- Browser
- Download file 5.37 GB
-
https://huggingface.co/Neo39982/Behemoth-R1-123B-v2-mlx-4Bit/resolve/main/model-00003-of-00014.safetensors
- Command line
-
hf download hf://Neo39982/Behemoth-R1-123B-v2-mlx-4Bit/model-00003-of-00014.safetensors
-
curl -L -o model-00003-of-00014.safetensors https://huggingface.co/Neo39982/Behemoth-R1-123B-v2-mlx-4Bit/resolve/main/model-00003-of-00014.safetensors
5.37 GB
- Xet hash:
- 6a799e09386e1e190041a52695bd4a624229dd4a71251fa0780915a29c71aea5
- Size of remote file:
- 5.37 GB
- SHA256:
- e2f72b12fb73634e4703578053a4a5bb27f05536e2814c5643ef92ff90fdbf17
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