RTX 4060 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.
RTX 4060 can run Alibaba-NLP/gte-Qwen2-1.5B-instruct with Q4 quantization. At approximately 46 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 5GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 3GB | 8GB | 46.24 tok/s | ✅ Fits comfortably |
| Q8 | 5GB | 8GB | 34.25 tok/s | ✅ Fits comfortably |
| FP16 | 11GB | 8GB | 17.40 tok/s | ❌ Not recommended |