Can the RTX 3090 run Qwen2.5 72B?

No. Qwen2.5 72B needs about 41.8 GB at Q4_K_M (weights plus 1.8 GB runtime overhead), and the RTX 3090 has 24 GB, so it won't fit without offloading layers to system RAM, which is far slower.

VRAM
24 GB
Needs at Q4
41.8 GB
Short by
17.8 GB
Speed
-

Every quantization

Qwen2.5 72B (72B) on 24 GB

QuantWeightsNeedsFitEst. speed
Q4_K_M40 GB41.8 GBToo big -
Q5_K_M48 GB49.8 GBToo big -
Q8_078 GB79.8 GBToo big -
FP16144 GB145.8 GBToo big -

Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the RTX 3090's 936 GB/s bandwidth (XiongjieDai/GPU-Benchmarks-on-LLM-Inference). Long contexts need more memory and run slower.

What to do instead

Two ways forward

Cheapest cards that run it

Models that fit the RTX 3090

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Same model, other hardware - and other models on this card

Qwen2.5 72B on other hardware

Also runs on the RTX 3090

Frequently asked

Quick answers

Can the NVIDIA RTX 3090 run Qwen2.5 72B?

No. Qwen2.5 72B needs about 41.8 GB at Q4_K_M (weights plus 1.8 GB runtime overhead), and the RTX 3090 has 24 GB, so it won't fit without offloading layers to system RAM, which is far slower.

How much VRAM does Qwen2.5 72B need?

About 40 GB of weights at Q4_K_M, 78 GB at Q8_0 and 144 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.

How fast is Qwen2.5 72B on the RTX 3090?

It doesn't fit in the RTX 3090's memory, so speed depends on how many layers you offload to system RAM - typically single-digit tokens per second or lower.