NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of huggyllama/llama-7b. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A100 80GB SXM4 can run huggyllama/llama-7b with Q4 quantization. At approximately 298 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 76GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 80GB | 298.29 tok/s | ✅ Fits comfortably |
| Q8 | 7GB | 80GB | 196.59 tok/s | ✅ Fits comfortably |
| FP16 | 15GB | 80GB | 109.05 tok/s | ✅ Fits comfortably |