Phi-4 14B on NVIDIA GeForce RTX 4090

Yes — RTX 4090 runs Phi-4 14B excellently at Q5_K_M — 58 tok/s. 24 GB VRAM with plenty of headroom.

Model Size

14.7B

Device VRAM

24 GB

Bandwidth

1008 GB/s

Quantization

Q5_K_M

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for Phi-4 14B on NVIDIA GeForce RTX 4090 at Q5_K_M. This is the best supported pairing we can stand behind today.

Quantization	Speed	TTFT	Fits in VRAM	Rating	Confidence
Q5_K_M	58 tok/s	115ms	✓ Yes	Excellent	estimated

Notes

Q5_K_M

Fast reasoning speed. Q5 quality with plenty of headroom.

About Phi-4 14B

Phi-4 14B (14.7B) is a reasoning, coding, chat model. Microsoft's efficient reasoning and coding model with high performance per parameter.

View all Phi-4 14B hardware options →

About NVIDIA GeForce RTX 4090

NVIDIA GeForce RTX 4090 has 24 GB at 1008 GB/s. Street price: $1,799.

See all models NVIDIA GeForce RTX 4090 can run →

Hardware

Builds with NVIDIA GeForce RTX 4090

Mid-range

AI Builder Workstation

Run every AI tool you need. Nothing leaves your machine

RTX 4090·24 GBVRAM

Runs 10 models

$2,773

High-end

High-End AI Workstation

Chat, generate images, and code with AI, all at once

RTX 4090·24 GBVRAM

Runs 8 models

$3,433

Estimate method: Community benchmarks and estimated performance. Reference hardware source: github.com (2026-03-01)

Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.