Qwen Qwen2.5 72B Instruct speed on RTX 4090 and quantization-level VRAM fit.
RTX 4090 does not meet the minimum VRAM requirement for Q4 inference of Qwen Qwen2.5 72B Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4090 lacks sufficient VRAM for comfortable Qwen Qwen2.5 72B Instruct operation with Q4 quantization.
Your 24GB GPU is 12GB 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 | 24GB | 36.00 tok/s | ❌ Not recommended |
| Q8 | 72GB | 24GB | 25.20 tok/s | ❌ Not recommended |
| FP16 | 144GB | 24GB | 13.68 tok/s | ❌ Not recommended |
Check current pricing links for RTX 4090 and similar cards.
Open RTX 4090 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 4090 is not a comfortable Q4 fit for Qwen Qwen2.5 72B Instruct (about 36GB needed).
Q4 inference is estimated to need about 36GB VRAM on this page, while RTX 4090 has 24GB available.
Try lower-bit quantization, choose a smaller model, or move to a higher-VRAM GPU from the alternatives list.