Dphn Dolphin 2.9.1 Yi 1.5 34B speed on RX 7900 XTX and quantization-level VRAM fit.
RX 7900 XTX 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.
RX 7900 XTX can run Dphn Dolphin 2.9.1 Yi 1.5 34B with Q4 quantization. At approximately 51 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 | 50.91 tok/s | ✅ Fits comfortably |
| Q8 | 35GB | 24GB | 35.63 tok/s | ❌ Not recommended |
| FP16 | 69GB | 24GB | 19.34 tok/s | ❌ Not recommended |
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RX 7900 XTX can run Dphn Dolphin 2.9.1 Yi 1.5 34B at Q4 with an estimated 51 tok/s.
Q4 inference is estimated to need about 18GB VRAM on this page, while RX 7900 XTX has 24GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.