Microsoft Phi 4 Multimodal Instruct speed on RTX 4070 Ti Super and quantization-level VRAM fit.
RTX 4070 Ti Super 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 4070 Ti Super can run Microsoft Phi 4 Multimodal Instruct with Q4 quantization. At approximately 113 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 14GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 16GB | 113.20 tok/s | ✅ Fits comfortably |
| Q8 | 4GB | 16GB | 79.24 tok/s | ✅ Fits comfortably |
| FP16 | 8GB | 16GB | 43.02 tok/s | ✅ Fits comfortably |
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RTX 4070 Ti Super can run Microsoft Phi 4 Multimodal Instruct at Q4 with an estimated 113 tok/s.
Q4 inference is estimated to need about 2GB VRAM on this page, while RTX 4070 Ti Super has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.