Home / Can I run it? / Phi-4 / Phi-4 on an RTX 5070 Ti

Yes. Phi-4 at Q4_K_M needs about 11.2 GB, and the GeForce RTX 5070 Ti has 16.0 GB usable at a ~4k context.

Can I run Phi-4 on an RTX 5070 Ti?

Phi-4 at Q4_K_M needs about 11.2 GB, and the GeForce RTX 5070 Ti has 16.0 GB usable. That figure is 16 GB of VRAM on the spec sheet, of which 16.0 GB is usable for weights and cache, at 896 GB/s memory bandwidth. Microsoft’s Phi-4, a dense 14B-class model often compared with other 12B–14B instruct weights. These are estimates from our formula, not measured benchmarks.

Quant that fits

Q4_K_M Fits with headroom

Memory needed

11.2 GB at Q4_K_M, ~4k context

Usable VRAM

16.0 GB of 16 GB VRAM

Est. tokens/sec

60–86 estimate

phi-4 · GeForce RTX 5070 Ti · Everything this machine runs · Q4 vs Q8 vs FP16

Memory at each quant

Estimated tokens per second

Estimate: 60–86 tokens/sec at Q4_K_M. This is a bandwidth-derived range, not a bench. Efficiency is a 60–85% GPU band from How we calculate.

Context headroom

At Q4_K_M, this machine has headroom out to about 16k tokens under our KV estimate. Longer chats need more memory for the cache. Figures assume an FP16 KV cache.

From the model’s config. Try other sizes in the VRAM calculator or see the context length guide.

What to do instead

• Q8_0 needs 18.9 GB and does not fit here. The Radeon RX 7900 XT has 20.0 GB usable, enough for Q8.
• Full hardware list: phi-4. Specs for this machine: GeForce RTX 5070 Ti.

Other hardware for Phi-4

• Phi-4 on an RTX 3060 12GBTight
• Phi-4 on an RTX 3070 TiWon’t fit
• Phi-4 on an RTX 3080Won’t fit
• Phi-4 on an RTX 4060 Ti 16GBFits
• Phi-4 on an RTX 4070 Ti SuperFits
• Phi-4 on an RTX 4090Fits

Other models on an RTX 5070 Ti

• Qwen3-32B on an RTX 5070 TiWon’t fit
• Qwen3-30B-A3B on an RTX 5070 TiWon’t fit
• Qwen3.8-27B on an RTX 5070 TiWon’t fit
• Gemma 3 27B on an RTX 5070 TiWon’t fit
• Gemma 4 31B on an RTX 5070 TiWon’t fit
• gpt-oss-20b on an RTX 5070 TiTight