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Parameters 30B-A3BApache-2.0Estimated

Qwen3-30B-A3B

总量 30B、每次只激活 3B 的 MoE 模型:大模型的能力,小模型的速度。

Official source:https://github.com/QwenLM/Qwen3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
30B-A3B
Architecture
MoE (mixture of experts)
Context
128K
License
Apache-2.0
Min VRAM
18G
RAM (CPU-only)
32G
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
F16120G138GOriginal precision
Q8_063.6G73GPractically lossless
Q6_K49.2G57GNear lossless
Q5_K_M42.6G49GVery good
Q4_K_M★36.6G42GBest value for most people
Q3_K_M30G35GNoticeable loss
Q2_K22.8G26GLast resort only

Method:显存为 Q4_K_M 档参考

Your device

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Install prompt

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

44 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:Qwen3-30B-A3B
用途:总量 30B、每次只激活 3B 的 MoE 模型:大模型的能力,小模型的速度。
官方来源:https://github.com/QwenLM/Qwen3
许可:Apache-2.0
Scroll inside the box with your mouse wheel — copying still gives you the full prompt1224 chars

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

About this entry

它是什么

MoE 的取舍在这里最明显:权重体积按 30B 算(要装进显存/内存),但每次推理只跑 3B 的激活量(所以快)。显存不够时它反而比同尺寸稠密模型更容易卡在加载这一步。来源:https://github.com/QwenLM/Qwen3https://github.com/QwenLM/Qwen3

怎么用起来

本地跑:先把 30B 的权重装下(Q4_K_M 约 18GB 起),内存/显存吃紧时 24GB 是舒适线。来源:https://github.com/QwenLM/Qwen3https://github.com/QwenLM/Qwen3

以上坑来自 https://github.com/QwenLM/Qwen3https://github.com/QwenLM/Qwen3 与官方文档。

来源与署名

Mentioned from:https://github.com/QwenLM/Qwen3https://github.com/QwenLM/Qwen3 · 原作者 阿里云通义千问(Qwen)(Apache-2.0)。