NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of meta-llama/Llama-2-7b-chat-hf. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA RTX 6000 Ada can run meta-llama/Llama-2-7b-chat-hf with Q4 quantization. At approximately 186 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 44GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 48GB | 185.91 tok/s | ✅ Fits comfortably |
| Q8 | 7GB | 48GB | 117.96 tok/s | ✅ Fits comfortably |
| FP16 | 15GB | 48GB | 69.41 tok/s | ✅ Fits comfortably |