Microsoft Phi 4 Multimodal Instruct speed on RTX 3080 and quantization-level VRAM fit.
RTX 3080 meets the minimum VRAM requirement for Q4 inference of Microsoft Phi 4 Multimodal Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 3080 can run Microsoft Phi 4 Multimodal Instruct with Q4 quantization. At approximately 126 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 8GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 10GB | 125.69 tok/s | ✅ Fits comfortably |
| Q8 | 4GB | 10GB | 87.98 tok/s | ✅ Fits comfortably |
| FP16 | 8GB | 10GB | 47.76 tok/s | ✅ Fits comfortably |
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RTX 3080 can run Microsoft Phi 4 Multimodal Instruct at Q4 with an estimated 126 tok/s.
Q4 inference is estimated to need about 2GB VRAM on this page, while RTX 3080 has 10GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.