Instructions to use abenzerps/Qwen-Image-2.1-Uncensored-Quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use abenzerps/Qwen-Image-2.1-Uncensored-Quantized with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download abenzerps/Qwen-Image-2.1-Uncensored-Quantized --local-dir Qwen-Image-2.1-Uncensored-Quantized
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download qwen-image-2.1-UC-Q4_0.gguf from abenzerps/Qwen-Image-2.1-Uncensored-Quantized: direct link, hf CLI and curl.
- Browser
- Download file 4.15 GB
-
https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-Quantized/resolve/main/qwen-image-2.1-UC-Q4_0.gguf
- Command line
-
hf download hf://abenzerps/Qwen-Image-2.1-Uncensored-Quantized/qwen-image-2.1-UC-Q4_0.gguf
-
curl -L -o qwen-image-2.1-UC-Q4_0.gguf https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-Quantized/resolve/main/qwen-image-2.1-UC-Q4_0.gguf
4.15 GB
- Xet hash:
- a68158bfd13230b67bf90ed90f5cfb61fc238df27eee82b7e7545588bfb7e474
- Size of remote file:
- 4.15 GB
- SHA256:
- 13f59f20656efc0aa385d03c1fcac1a9dc2ad6e5ccc0ea9bfe1d6ac636f2c5b9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.