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Parameters 7BApache-2.0Estimated

Qwen2.5-VL 7B

能看图的多模态模型,7B 级,12GB 显存起步。

Official source:https://github.com/QwenLM/Qwen2.5-VL阿里云通义千问(Qwen)You are leaving AIWorksWell for 阿里云通义千问(Qwen). That site is not under our control; its content, privacy and security are its own responsibility. Please judge for yourself.

What hardware it needs

Estimated
Parameters
7B
Architecture
Dense
Context
128K
License
Apache-2.0
Min VRAM
12G
RAM (CPU-only)
16G
Download size
—G

Requirements by quantisation

The same model at different quantisations is a different download — the most common misjudgement in local AI.

Suggested quantisationSizeMin VRAMQuality
F1628G32GOriginal precision
Q8_014.8G17GPractically lossless
Q6_K11.5G13GNear lossless
Q5_K_M9.9G11GVery good
Q4_K_M★8.5G10GBest value for most people
Q3_K_M7G8GNoticeable loss
Q2_K5.3G6.5GLast resort only

Method:显存为 Q4_K_M 档参考

Your device

A plain-language profile of every model you can run yourself: parameter count, hardware it needs, which quantisation fits. No rankings, no prices — just what it takes to run.

Save your device profile once and this page will tell you whether it runs on your machine.Add your device·No account? Try a one-off check

Install prompt

Copy it, paste it into your AI (Claude Code, Codex, ChatGPT…), and it installs and verifies for you.

43 lines
我需要你帮我在我的机器上安装并运行一个软件。

【软件信息】
名称:Qwen2.5-VL 7B
用途:能看图的多模态模型,7B 级,12GB 显存起步。
官方来源:https://github.com/QwenLM/Qwen2.5-VL
许可:Apache-2.0
Scroll inside the box with your mouse wheel — copying still gives you the full prompt1193 chars

Copy → paste into your own AI → it installs for you

About this entry

它是什么

Qwen2.5-VL 7B 是阿里云通义千问的 7B 级多模态模型。多模态的显存开销除权重外还要留给图像编码器与视觉 token,所以 Qwen2.5-VL 7B 比同参数量的纯文本模型更吃显存。来源:https://github.com/QwenLM/Qwen2.5-VLhttps://github.com/QwenLM/Qwen2.5-VL

怎么用起来

Qwen2.5-VL 7B 用支持 VL 的推理框架(如 vLLM / LM Studio 的多模态版本)本地跑,显存 12GB 起,24GB 更舒适。来源:https://github.com/QwenLM/Qwen2.5-VLhttps://github.com/QwenLM/Qwen2.5-VL

以上坑来自 https://github.com/QwenLM/Qwen2.5-VLhttps://github.com/QwenLM/Qwen2.5-VL 与官方文档。

来源与署名

Mentioned from:https://github.com/QwenLM/Qwen2.5-VLhttps://github.com/QwenLM/Qwen2.5-VL · 原作者 阿里云通义千问(Qwen)(Apache-2.0)。