MicrosoftPhi-4 14B on NVIDIA GeForce RTX 4070 Ti Super
Yes — RTX 4070 Ti Super handles Phi-4 14B well at Q5_K_M — 42 tok/s. Solid daily-driver performance on 16 GB VRAM.
Model Size
14.7B
Device VRAM
16 GB
Bandwidth
672 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Phi-4 14B on NVIDIA GeForce RTX 4070 Ti 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 | 42 tok/s | 170ms | ✓ Yes | Good | estimated |
Notes
Q5_K_M
Q5 fits with headroom. Capable reasoning performance.
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 4070 Ti Super
NVIDIA GeForce RTX 4070 Ti Super has 16 GB at 672 GB/s. Street price: $779.
See all models NVIDIA GeForce RTX 4070 Ti 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.