RTX 4090 meets the minimum VRAM requirement for Q4 inference of OpenPipe/Qwen3-14B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4090 can run OpenPipe/Qwen3-14B-Instruct with Q4 quantization. At approximately 125 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 17GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 7GB | 24GB | 125.25 tok/s | ✅ Fits comfortably |
| Q8 | 14GB | 24GB | 96.13 tok/s | ✅ Fits comfortably |
| FP16 | 29GB | 24GB | 56.18 tok/s | ❌ Not recommended |