# Unsloth 发布 Qwen-Image-2.1 GGUF 量化版，12GB 显存可本地运行

- 来源：Unsloth AI (@UnslothAI)
- 发布时间：2026-09-23 00:14
- AIHOT 分数：64
- AIHOT 链接：https://aihot.news/items/cmucvovf50q87roedstu507yi
- 原文链接：https://x.com/UnslothAI/status/2102431304591761728

## AI 摘要

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。

## 正文

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

### 引用推文

> Qwen：Meet Qwen-Image-2.1, the most balanced and cost-effective image generation model in the Qwen-Image series! Now open weights! 🎨 A unified model for both generat...