Instructions to use BennyDaBall/qwen3-4b-Z-Image-Engineer-V2-4bit-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use BennyDaBall/qwen3-4b-Z-Image-Engineer-V2-4bit-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir qwen3-4b-Z-Image-Engineer-V2-4bit-MLX BennyDaBall/qwen3-4b-Z-Image-Engineer-V2-4bit-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- bccec744553f4307b33434d293a6196efef0b5ffd5493ef0345f53c964299b0c
- Size of remote file:
- 2.26 GB
- SHA256:
- ff95269530eef60ba090f29ab2acdf5ad70756bcfd24e4622a8f07867ff18a99
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