vram.run Models Hardware Providers Cloud State of Inference
API provider data is live · Hardware & cloud pricing curated 2026-02-23

Phi-3-mini-4k-instruct

by microsoft

3.8B params · text-generation · 1.4k likes · 866.6k downloads

Phi-3-mini-4k-instruct is a 3.8B parameter model. At Q4 quantization it requires 2GB of VRAM. It runs comfortably on GeForce RTX 4090 (343 tok/s), GeForce RTX 5090 (515 tok/s), M4 Max 128GB (125 tok/s).

GPU compatibility

GPUVRAMQ4 DecodeVerdict
GeForce RTX 409024GB343 tok/scomfortable
GeForce RTX 509032GB515 tok/scomfortable
M4 Max 128GB128GB125 tok/scomfortable
M4 Pro 48GB48GB62 tok/scomfortable
M4 Pro 24GB24GB62 tok/scomfortable
A100 PCIe 80 GB80GB629 tok/scomfortable
H100 SXM5 80 GB80GB1266 tok/scomfortable
GeForce RTX 309024GB303 tok/scomfortable
Radeon RX 7900 XTX24GB251 tok/scomfortable
GeForce RTX 408016GB243 tok/scomfortable
Install CLI [email protected] Raw data · MIT · API data: live · HW/Cloud data: curated 2026-02-23 · v0.6.0