NVIDIA A6000 meets the minimum VRAM requirement for Q4 inference of meta-llama/Llama-2-13b-chat-hf. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A6000 can run meta-llama/Llama-2-13b-chat-hf with Q4 quantization. At approximately 104 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 41GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 7GB | 48GB | 104.08 tok/s | ✅ Fits comfortably |
| Q8 | 13GB | 48GB | 70.12 tok/s | ✅ Fits comfortably |
| FP16 | 27GB | 48GB | 39.49 tok/s | ✅ Fits comfortably |