Instructions to use mrtoots/TheDrummer-Behemoth-R1-123B-v2-MLX-8Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mrtoots/TheDrummer-Behemoth-R1-123B-v2-MLX-8Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir TheDrummer-Behemoth-R1-123B-v2-MLX-8Bit mrtoots/TheDrummer-Behemoth-R1-123B-v2-MLX-8Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download model-00025-of-00026.safetensors from mrtoots/TheDrummer-Behemoth-R1-123B-v2-MLX-8Bit: direct link, hf CLI and curl.
- Browser
- Download file 5.13 GB
-
https://huggingface.co/mrtoots/TheDrummer-Behemoth-R1-123B-v2-MLX-8Bit/resolve/main/model-00025-of-00026.safetensors
- Command line
-
hf download hf://mrtoots/TheDrummer-Behemoth-R1-123B-v2-MLX-8Bit/model-00025-of-00026.safetensors
-
curl -L -o model-00025-of-00026.safetensors https://huggingface.co/mrtoots/TheDrummer-Behemoth-R1-123B-v2-MLX-8Bit/resolve/main/model-00025-of-00026.safetensors
5.13 GB
- Xet hash:
- 197ad469c7060adaf5fd5fc36a0bbe15b5ddcc7decb449d983be2c532a9f5d2a
- Size of remote file:
- 5.13 GB
- SHA256:
- 2c1e60057d6c73b8bf229efcf83f1b7dd3dc0e5df535e65712dd761269eba0f6
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