Instructions to use aac6fef/laya-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aac6fef/laya-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir laya-mlx aac6fef/laya-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download model.safetensors from aac6fef/laya-mlx: direct link, hf CLI and curl.
- Browser
- Download file 843 MB
-
https://huggingface.co/aac6fef/laya-mlx/resolve/main/model.safetensors
- Command line
-
hf download hf://aac6fef/laya-mlx/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/aac6fef/laya-mlx/resolve/main/model.safetensors
843 MB
- Xet hash:
- 7fbca9cbdab67cbf78d8b9ac05db79ef5bfbed22417cf0924965084a52aac34b
- Size of remote file:
- 843 MB
- SHA256:
- b9c07bf14be2fa5c78a9193a3e6d840ac80e89e62fc40f425834c3d8a6eaa3de
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