RTX 4090 does not meet the minimum VRAM requirement for Q4 inference of meta-llama/Llama-3.1-70B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4090 lacks sufficient VRAM for comfortable meta-llama/Llama-3.1-70B-Instruct operation with Q4 quantization.
Your 24GB GPU is 10GB short of the 34GB 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 | 34GB | 24GB | 67.15 tok/s | ❌ Not recommended |
| Q8 | 68GB | 24GB | 46.07 tok/s | ❌ Not recommended |
| FP16 | 137GB | 24GB | 22.58 tok/s | ❌ Not recommended |