Instructions to use beezu/Anubis-70B-v1-MLX-8Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use beezu/Anubis-70B-v1-MLX-8Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Anubis-70B-v1-MLX-8Bit beezu/Anubis-70B-v1-MLX-8Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 8db2b21e5b8ccbb540b7e96928a3912ca055b853a3a7baabbf9998a6d5794262
- Size of remote file:
- 5.21 GB
- SHA256:
- 0ec14f35207032217326fda8a4b172cac02e40840862d092c4af8670a6bf6311
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