Instructions to use usermma/DeepHat-V1-7B-Heretic-Abliterated-mlx-5Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use usermma/DeepHat-V1-7B-Heretic-Abliterated-mlx-5Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir DeepHat-V1-7B-Heretic-Abliterated-mlx-5Bit usermma/DeepHat-V1-7B-Heretic-Abliterated-mlx-5Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 24d583cf699649aeb68f108254a7f0127191d62044cc6b0faadf3f1a0641848a
- Size of remote file:
- 11.4 MB
- SHA256:
- 15d7386626af6807e620f921cdb061142cd4ba49a99650ab6c70048c9c4290d9
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