Instructions to use abenzerps/Qwen-Image-2.1-Turbo-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-Turbo-Quantized with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download abenzerps/Qwen-Image-2.1-Turbo-Quantized --local-dir Qwen-Image-2.1-Turbo-Quantized
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download qwen-image-2.1-turbo-Q4_K_M.gguf from abenzerps/Qwen-Image-2.1-Turbo-Quantized: direct link, hf CLI and curl.
- Browser
- Download file 4.05 GB
-
https://huggingface.co/abenzerps/Qwen-Image-2.1-Turbo-Quantized/resolve/main/qwen-image-2.1-turbo-Q4_K_M.gguf
- Command line
-
hf download hf://abenzerps/Qwen-Image-2.1-Turbo-Quantized/qwen-image-2.1-turbo-Q4_K_M.gguf
-
curl -L -o qwen-image-2.1-turbo-Q4_K_M.gguf https://huggingface.co/abenzerps/Qwen-Image-2.1-Turbo-Quantized/resolve/main/qwen-image-2.1-turbo-Q4_K_M.gguf
4.05 GB
- Xet hash:
- 9e03695c4c0390d44550ea837c51a18e14083dd1b0b49c6cf9baa05e6093468b
- Size of remote file:
- 4.05 GB
- SHA256:
- 14be42ddc6e324682dd8e073ab32a0a4b3b8cd93657d6ec419dae3cc5f22ef78
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