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:
- d120d6e343bff280d21170ca9bd7c32e5610f31a8b89865053de34e49538b549
- Size of remote file:
- 5.24 GB
- SHA256:
- e93becf334c5d3e7e3295f1e4cea33064128813ffe0eb5710e31d4d1031ae5d0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.