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Alibaba · Dense · GQA

Qwen3-8B:各量化与上下文下的显存

8.2B 参数、36 层、8 个 KV 头。换算成 GB 是这个结果。

8.2B parameters 4.9 GB at Q4_K_M 36 layers 8 KV heads
架构参数
Parameters8.2BVendor model card
Layers36config.json
Hidden size4096config.json
Attention heads32config.json
KV heads8config.json (GQA)
Head dim128config.json
Max context40960 tokensconfig.json

Source: Qwen/Qwen3-8B config.json

各量化精度下的显存
Total includes 8K of KV cache and 1.5 GB runtime overhead.
量化WeightsKV @ 8K总需求可运行于
FP16 / BF16
2.0 B/param
16.4 GB1.2 GB19.1 GBMac Studio M4 Max 128GB
INT8 / Q8_0
1.06 B/param
8.7 GB1.2 GB11.4 GBMac Studio M4 Max 128GB
Q4_K_M (4-bit)
0.6 B/param
4.9 GB1.2 GB7.6 GBMac Studio M4 Max 128GB
Q5_K_M (5-bit)
0.72 B/param
5.9 GB1.2 GB8.6 GBMac Studio M4 Max 128GB
各上下文长度下的 KV 缓存
Q4_K_M weights plus 1.5 GB overhead. KV cache at FP16.
上下文KV 缓存总需求可运行于
4k0.6 GB7.0 GBMac Studio M4 Max 128GB
8k1.2 GB7.6 GBMac Studio M4 Max 128GB
16k2.4 GB8.8 GBMac Studio M4 Max 128GB
32k4.8 GB11.3 GBMac Studio M4 Max 128GB
64k9.7 GB16.1 GBMac Studio M4 Max 128GB
128k19.3 GB25.7 GBMac Studio M4 Max 128GB

结论

At Q4_K_M the weights alone are about 4.9 GB. With 8K of context and 1.5 GB of runtime overhead it lands near 7.6 GB. It fits: RTX 4090, RTX 3090, RTX 5090, Mac Studio M4 Max 128GB.

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所有吞吐数字均为基于内存带宽与公开实测的估算值,显存数字按模型架构与量化假设推算。购买硬件前请以你自己的运行环境为准。