Instructions to use ddalcu/Qwen-Image-2.1-Turbo-MLX-Serve-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ddalcu/Qwen-Image-2.1-Turbo-MLX-Serve-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download ddalcu/Qwen-Image-2.1-Turbo-MLX-Serve-8bit --local-dir Qwen-Image-2.1-Turbo-MLX-Serve-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download NOTICE from ddalcu/Qwen-Image-2.1-Turbo-MLX-Serve-8bit: direct link, hf CLI and curl.
- Browser
- Download file 434 Bytes
-
https://huggingface.co/ddalcu/Qwen-Image-2.1-Turbo-MLX-Serve-8bit/resolve/main/NOTICE
- Command line
-
hf download hf://ddalcu/Qwen-Image-2.1-Turbo-MLX-Serve-8bit/NOTICE
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curl -L -o NOTICE https://huggingface.co/ddalcu/Qwen-Image-2.1-Turbo-MLX-Serve-8bit/resolve/main/NOTICE
434 Bytes
| Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT, Copyright (c) 2026 Hangzhou Tongyi Laboratory Technology Co., Ltd. All Rights Reserved. | |
| Modified by mlx-serve (https://github.com/ddalcu/mlx-serve): the transformer/ and text_encoder/ | |
| weights are re-quantized to 8-bit affine (group 64) by tests/convert_qwen_image21_weights.py, | |
| and lm_head and the VAE's time_conv weights are dropped. Every other file is copied unchanged. | |