Qwen-Image-2.1 can now run locally on 12GB VRAM with Unsloth GGUFs! 🖼️
This is a AI post classified by Jev as AI image (a tool drop), kept by the AI Radar because it carries real work, not commentary.
Qwen-Image-2.1 can now run locally on 12GB VRAM with Unsloth GGUFs! 🖼️ The 7B model performs on par with Nano Banana 2.0. For higher quality, you can also run Dynamic FP8 on just 6GB of VRAM via offloading. GGUF: https://huggingface.co/unsloth/Qwen-Image-2.1-GGUF Guide: https://unsloth.ai/docs/models/qwen-image-2.1
Posted by Unsloth AI (97.7k followers) 1 h ago · 487 likes · 26.4k views · view the original post on X. Kept by the AI Radar as AI image. Tools mentioned: qwen-image-2.1-gguf, Qwen3.8, Qwen Studio, qwen-image-2.1, Intern-S2-397B, qwen-image-2.1.
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