MicrosoftPhi-4 14B on NVIDIA GeForce RTX 4080 Super
Yes — RTX 4080 Super runs Phi-4 14B excellently at Q5_K_M — 48 tok/s. 16 GB VRAM with plenty of headroom.
Model Size
14.7B
Device VRAM
16 GB
Bandwidth
736 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Phi-4 14B on NVIDIA GeForce RTX 4080 Super 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 | 48 tok/s | 150ms | ✓ Yes | Excellent | estimated |
Notes
Q5_K_M
14B Q5 fits on 16GB. Good reasoning speed.
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 4080 Super
NVIDIA GeForce RTX 4080 Super has 16 GB at 736 GB/s. Street price: $979.
See all models NVIDIA GeForce RTX 4080 Super can run →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.