Instructions to use ddalcu/Qwen-Image-2.1-MLX-Serve-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ddalcu/Qwen-Image-2.1-MLX-Serve-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download ddalcu/Qwen-Image-2.1-MLX-Serve-4bit --local-dir Qwen-Image-2.1-MLX-Serve-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download config.json from ddalcu/Qwen-Image-2.1-MLX-Serve-4bit: direct link, hf CLI and curl.
- Browser
- Download file 117 Bytes
-
https://huggingface.co/ddalcu/Qwen-Image-2.1-MLX-Serve-4bit/resolve/3b171344033df487d261810dd1e4d394c928dd20/config.json
- Command line
-
hf download hf://ddalcu/Qwen-Image-2.1-MLX-Serve-4bit@3b171344033df487d261810dd1e4d394c928dd20/config.json
-
curl -L -o config.json https://huggingface.co/ddalcu/Qwen-Image-2.1-MLX-Serve-4bit/resolve/3b171344033df487d261810dd1e4d394c928dd20/config.json
117 Bytes
| { | |
| "model_type": "qwen_image21", | |
| "quantization": { | |
| "group_size": 64, | |
| "dit_bits": 4, | |
| "te_bits": 4 | |
| } | |
| } |