NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of Alibaba-NLP/gte-Qwen2-1.5B-instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A100 80GB SXM4 can run Alibaba-NLP/gte-Qwen2-1.5B-instruct with Q4 quantization. At approximately 283 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 77GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 3GB | 80GB | 282.80 tok/s | ✅ Fits comfortably |
| Q8 | 5GB | 80GB | 220.17 tok/s | ✅ Fits comfortably |
| FP16 | 11GB | 80GB | 107.59 tok/s | ✅ Fits comfortably |