Unsloth AI · @UnslothAI · X·2026-09-23 00:14·40分钟前
AI 导读

Unsloth 发布 Qwen-Image-2.1 的 Dynamic GGUF 量化版本,让这个 7B 文生图加编辑模型可在 12GB 显存上本地运行,并称其表现与 Nano Banana 2.0 相当。

Unsloth AI@UnslothAI
64AI 编辑部评分,满分 100
2026-09-23 00:14· 40分钟前
AI 导读

Unsloth 发布 Qwen-Image-2.1 的 Dynamic GGUF 量化版本,让这个 7B 文生图加编辑模型可在 12GB 显存上本地运行,并称其表现与 Nano Banana 2.0 相当。

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

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