Quantization-specific throughput and VRAM requirements for RedHatAI/Llama-3.3-70B-Instruct-FP8-dynamic running on NVIDIA A6000.
Speed values come from the compatibility dataset (`estimatedTokensPerSec`) and are sorted by quantization.
For full verdict logic and alternate GPUs, see the canonical compatibility page.
Open full compatibility report| Quantization | VRAM needed | VRAM available | Speed | Verdict |
|---|---|---|---|---|
| Q4 | 34GB | 48GB | 43 tok/s | ✅ Fits |
| Q8 | 68GB | 48GB | 32 tok/s | ❌ Not recommended |
| FP16 | 137GB | 48GB | 16 tok/s | ❌ Not recommended |