Dphn Dolphin 2.9.1 Yi 1.5 34B speed on RTX 5090 and quantization-level VRAM fit.
RTX 5090 meets the minimum VRAM requirement for Q4 inference of Dphn Dolphin 2.9.1 Yi 1.5 34B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 5090 can run Dphn Dolphin 2.9.1 Yi 1.5 34B with Q4 quantization. At approximately 105 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 15GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 17GB | 32GB | 104.92 tok/s | ✅ Fits comfortably |
| Q8 | 34GB | 32GB | 73.44 tok/s | ❌ Not recommended |
| FP16 | 68GB | 32GB | 39.87 tok/s | ❌ Not recommended |
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RTX 5090 can run Dphn Dolphin 2.9.1 Yi 1.5 34B at Q4 with an estimated 105 tok/s.
Q4 inference is estimated to need about 17GB VRAM on this page, while RTX 5090 has 32GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.