Instructions to use m-i/AntAngelMed-mlx-6Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use m-i/AntAngelMed-mlx-6Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir AntAngelMed-mlx-6Bit m-i/AntAngelMed-mlx-6Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 70531859e3fa914b2296590b50fa69d47ccf692d99411a75acab6b809e5613f1
- Size of remote file:
- 12.2 MB
- SHA256:
- 1ce9d2d10f1d6da7b2439bc9655e51a00a8c5970f7dd015ae8407ca3962199f4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.