Dphn Dolphin 2.9.1 Yi 1.5 34B speed on RTX 3090 and quantization-level VRAM fit.
RTX 3090 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 3090 can run Dphn Dolphin 2.9.1 Yi 1.5 34B with Q4 quantization. At approximately 54 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 6GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 18GB | 24GB | 53.96 tok/s | ✅ Fits comfortably |
| Q8 | 35GB | 24GB | 37.78 tok/s | ❌ Not recommended |
| FP16 | 69GB | 24GB | 20.51 tok/s | ❌ Not recommended |
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RTX 3090 can run Dphn Dolphin 2.9.1 Yi 1.5 34B at Q4 with an estimated 54 tok/s.
Q4 inference is estimated to need about 18GB VRAM on this page, while RTX 3090 has 24GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.