Can the RTX 5070 run Phi-4?
Just. Phi-4 at Q4_K_M needs about 10.3 GB of the RTX 5070's 12 GB, running at an estimated 45 tok/s. Keep context short and close other GPU apps.
Every quantization
Phi-4 (14B) on 12 GB
| Quant | Weights | Needs | Fit | Est. speed |
|---|---|---|---|---|
| Q4_K_M | 8.5 GB | 10.3 GB | Tight | ~45 tok/s |
| Q5_K_M | 10.5 GB | 12.3 GB | Too big | - |
| Q8_0 | 16 GB | 17.8 GB | Too big | - |
| FP16 | 28 GB | 29.8 GB | Too big | - |
Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the RTX 5070's 672 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode)). Long contexts need more memory and run slower.
Run it
Copy, paste, go
ollama run phi-4:14bllama-server -hf microsoft/phi-4-gguf -ngl 99Ollama pulls a Q4 build by default. Pick a larger quant only if the table above says it fits. Full Phi-4 details →
Compare
Same model, other hardware - and other models on this card
Phi-4 on other hardware
- RTX 5090~121 tok/s
- RTX 5090 D~121 tok/s
- RTX 6000D~106 tok/s
- RTX 4090~74 tok/s
- Radeon RX 7900 XTX~65 tok/s
- RTX 5080~65 tok/s
- RTX 3090~64 tok/s
- RTX 3080 Ti~62 tok/s
Also runs on the RTX 5070
- Qwen3 14B~48 tok/s
- Gemma 4 12B~55 tok/s
- Qwen3.5 9B~64 tok/s
- Llama 3.1 8B~70 tok/s
- Mistral-7B-Instruct-v0.2~96 tok/s
- Qwen3.5 4B~128 tok/s
- Qwen3-4B-Instruct-2507~193 tok/s
- NVIDIA Nemotron 3 Nano 4B~193 tok/s
Frequently asked
Quick answers
Can the NVIDIA RTX 5070 run Phi-4?
Just. Phi-4 at Q4_K_M needs about 10.3 GB of the RTX 5070's 12 GB, running at an estimated 45 tok/s. Keep context short and close other GPU apps.
How much VRAM does Phi-4 need?
About 8.5 GB of weights at Q4_K_M, 16 GB at Q8_0 and 28 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.
How fast is Phi-4 on the RTX 5070?
Roughly 45 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the RTX 5070's 672 GB/s memory bandwidth.