NVIDIA H100 PCIe 80GB meets the minimum VRAM requirement for Q4 inference of kaitchup/Phi-3-mini-4k-instruct-gptq-4bit. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA H100 PCIe 80GB can run kaitchup/Phi-3-mini-4k-instruct-gptq-4bit with Q4 quantization. At approximately 290 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 78GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 80GB | 290.47 tok/s | ✅ Fits comfortably |
| Q8 | 4GB | 80GB | 221.43 tok/s | ✅ Fits comfortably |
| FP16 | 9GB | 80GB | 127.41 tok/s | ✅ Fits comfortably |