NVIDIA A6000 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 A6000 can run Alibaba-NLP/gte-Qwen2-1.5B-instruct with Q4 quantization. At approximately 141 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 45GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 3GB | 48GB | 141.43 tok/s | ✅ Fits comfortably |
| Q8 | 5GB | 48GB | 88.64 tok/s | ✅ Fits comfortably |
| FP16 | 11GB | 48GB | 47.85 tok/s | ✅ Fits comfortably |