NVIDIA Llama 3 1 Nemotron 70B Instruct HF speed on RTX 5080 and quantization-level VRAM fit.
RTX 5080 does not meet the minimum VRAM requirement for Q4 inference of NVIDIA Llama 3 1 Nemotron 70B Instruct HF. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 5080 lacks sufficient VRAM for comfortable NVIDIA Llama 3 1 Nemotron 70B Instruct HF operation with Q4 quantization.
Your 16GB GPU is 19GB short of the 35GB 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 | 35GB | 16GB | 55.34 tok/s | ❌ Not recommended |
| Q8 | 70GB | 16GB | 38.74 tok/s | ❌ Not recommended |
| FP16 | 140GB | 16GB | 21.03 tok/s | ❌ Not recommended |
Check current pricing links for RTX 5080 and similar cards.
Open RTX 5080 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 5080 is not a comfortable Q4 fit for NVIDIA Llama 3 1 Nemotron 70B Instruct HF (about 35GB needed).
Q4 inference is estimated to need about 35GB VRAM on this page, while RTX 5080 has 16GB available.
Try lower-bit quantization, choose a smaller model, or move to a higher-VRAM GPU from the alternatives list.