Instructions to use mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Nous-Hermes-2-Mixtral-8x7B-DPO-4bit mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- aa019fa02d1d04ebb11d4a8410a0fddb50a3d30d05e55f2517e62264094b6a3c
- Size of remote file:
- 10.6 GB
- SHA256:
- 3de9d050b7b591adaedf637de0b4c8c9c7da86944efcec412ea106db1bbeb771
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