NVIDIA A5000 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 A5000 can run Alibaba-NLP/gte-Qwen2-1.5B-instruct with Q4 quantization. At approximately 137 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 21GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 3GB | 24GB | 136.76 tok/s | ✅ Fits comfortably |
| Q8 | 5GB | 24GB | 93.03 tok/s | ✅ Fits comfortably |
| FP16 | 11GB | 24GB | 47.47 tok/s | ✅ Fits comfortably |