Text model · phi
Phi-4 14B requirements
phi family · 14B params · released Dec 2024 · 7.3M Ollama pulls · LMArena Elo 1256. Minimum to run at Q4_K_M: Nvidia GeForce RTX 3060 (12GB).
Quantization sizes
| Quantization | Size on disk |
|---|---|
| Q2_K | 5.9 GB est |
| Q3_K_M | 6.8 GB est |
| Q4_K_M (default) | 9.05 GB |
| Q5_K_M | 10 GB est |
| Q6_K | 11.5 GB est |
| Q8_0 | 15.58 GB |
| FP16 | 28 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
ollama run phi4:14b llama-cli -hf bartowski/phi-4-GGUF:Q4_K_M lms get bartowski/phi-4-GGUF Which devices can run Phi-4 14B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does Phi-4 14B need?
At Q4_K_M, Phi-4 14B needs about 10.8 GB (weights ~9.05 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~17.3 GB.
Can Phi-4 14B run on a laptop?
Phi-4 14B is large; you need a 24 GB+ GPU or a 32-48 GB Mac at Q4_K_M.
Can I use Phi-4 14B commercially?
Yes. Phi-4 14B is licensed MIT, which permits commercial use.
Released December 12, 2024 by Microsoft. Strong math and reasoning. Default context 16K. Ollama shows 9.1GB; bartowski HF gives precise 9.05GB Q4_K_M and 15.58GB Q8_0.
Sources
Memory figures are estimates. See methodology.