Instructions to use qurk41/Kyllene-34B-v1.1-mlx-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use qurk41/Kyllene-34B-v1.1-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Kyllene-34B-v1.1-mlx-4Bit qurk41/Kyllene-34B-v1.1-mlx-4Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 83915692b5b14c231ba8b8cff7e632017e9bf2acd28d446e080c04441689b92b
- Size of remote file:
- 5.33 GB
- SHA256:
- 754c0b4fefd0692ca884a12ce401df69c6cc6a7fc9c35ea2b06fdca8932a4d23
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