Microsoft
Phi-4
Microsoft's 14B parameter model. Punches well above its weight on reasoning.
14B parametersphi3mit16K context8.93GB - 15.01GB VRAM
Check Your Hardware
See which quantizations of Phi-4 your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 8.431 GB | 8.93 GB | 9.43 GB | 85% |
| Q5_K_M | 5.5 | 9.876 GB | 10.38 GB | 10.88 GB | 90% |
| Q8_0 | 8 | 14.51 GB | 15.01 GB | 15.51 GB | 98% |
See It In Action
Real model outputs generated via RunThisModel.com — watch responses stream in real time.
Llama 3.3 70B responding...
Outputs generated by real AI models via RunThisModel.com. Generation speed shown is from cloud inference. Local speeds vary by hardware — check your device.
Frequently Asked Questions
How much VRAM do I need to run Phi-4?
Phi-4 requires 8.93GB VRAM minimum with Q4_K_M quantization. For full precision, you need 15.01GB VRAM.
What is the best quantization for Phi-4?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.