RTX 5090 meets the minimum VRAM requirement for Q4 inference of meta-llama/Llama-3.1-8B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 5090 can run meta-llama/Llama-3.1-8B with Q4 quantization. At approximately 275 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 28GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 32GB | 274.93 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 32GB | 224.02 tok/s | ✅ Fits comfortably |
| FP16 | 17GB | 32GB | 111.14 tok/s | ✅ Fits comfortably |