Qwen Qwen2 5 Math 72B Instruct speed on RTX 5090 and quantization-level VRAM fit.
RTX 5090 does not meet the minimum VRAM requirement for Q4 inference of Qwen Qwen2 5 Math 72B Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 5090 lacks sufficient VRAM for comfortable Qwen Qwen2 5 Math 72B Instruct operation with Q4 quantization.
Your 32GB GPU is 4GB short of the 36GB minimum.
Options: (1) Try Q2 or Q3 quantization for lower VRAM requirements, (2) Consider cloud GPU rental, (3) Upgrade to a GPU with at least 16GB VRAM.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 36GB | 32GB | 59.95 tok/s | ❌ Not recommended |
| Q8 | 72GB | 32GB | 41.97 tok/s | ❌ Not recommended |
| FP16 | 144GB | 32GB | 22.78 tok/s | ❌ Not recommended |
Check current pricing links for RTX 5090 and similar cards.
Open RTX 5090 buy links →Use workload-focused recommendations before committing to a purchase.
Browse best GPU guides →Compare complete systems if you want ready-to-run hardware.
Compare prebuilt systems →RTX 5090 is not a comfortable Q4 fit for Qwen Qwen2 5 Math 72B Instruct (about 36GB needed).
Q4 inference is estimated to need about 36GB VRAM on this page, while RTX 5090 has 32GB available.
Try lower-bit quantization, choose a smaller model, or move to a higher-VRAM GPU from the alternatives list.