Instructions to use anquachdev/hibiki-1b-mlx-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use anquachdev/hibiki-1b-mlx-q4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir hibiki-1b-mlx-q4 anquachdev/hibiki-1b-mlx-q4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- f5cec98c294e20e3218d0e9caefa9ea56c69b7a03a50448b91dbf2b17d71b3e6
- Size of remote file:
- 857 kB
- SHA256:
- c22110fb855aa049e17346ea2e88355bdd664f06cbfd09948380ab5e85b39697
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