canirunthismodel

Can I run Phi-3-mini-4k-instruct on a NVIDIA RTX 5070?

Yes.Runs

You can run this comfortably. On a NVIDIA RTX 5070 (12 GB VRAM), Phi-3-mini-4k-instruct needs about 10 GB (FP16) and should generate at roughly ~55 tok/s. Recommended: Run on your GPU with FP16.

microsoft/Phi-3-mini-4k-instruct

Why

How to run Phi-3-mini-4k-instruct on a RTX 5070

Serve with vLLM (OpenAI-compatible API)
# Fast production serving on http://localhost:8000/v1
vllm serve microsoft/Phi-3-mini-4k-instruct
Python (Transformers)
from transformers import pipeline
pipe = pipeline("text-generation", model="microsoft/Phi-3-mini-4k-instruct", device_map="auto")
print(pipe("Hello", max_new_tokens=50))

Want it to run comfortably at higher precision? The smallest GPU that runs Phi-3-mini-4k-instruct well is the NVIDIA RTX 5080 (16 GB).

Try the full analyzer

Phi-3-mini-4k-instruct on other GPUs

Other models on a RTX 5070