Nousresearch Hermes 3 Llama 3 1 70B speed on RTX 5090 and quantization-level VRAM fit.
RTX 5090 does not meet the minimum VRAM requirement for Q4 inference of Nousresearch Hermes 3 Llama 3 1 70B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 5090 lacks sufficient VRAM for comfortable Nousresearch Hermes 3 Llama 3 1 70B operation with Q4 quantization.
Your 32GB GPU is 3GB 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 | 32GB | 104.92 tok/s | ❌ Not recommended |
| Q8 | 70GB | 32GB | 73.44 tok/s | ❌ Not recommended |
| FP16 | 140GB | 32GB | 39.87 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 Nousresearch Hermes 3 Llama 3 1 70B (about 35GB needed).
Q4 inference is estimated to need about 35GB 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.