Microsoft
Phi-4 Mini 3.8B
Latest Phi mini with strong reasoning. Drop-in upgrade from Phi-3.5 Mini.
3.8B parametersphi4mit128K context2.82GB - 4.3GB VRAM
Check Your Hardware
See which quantizations of Phi-4 Mini 3.8B your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 2.321 GB | 2.82 GB | 3.32 GB | 85% |
| Q8_0 | 8 | 3.804 GB | 4.3 GB | 4.8 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 Mini 3.8B?
Phi-4 Mini 3.8B requires 2.82GB VRAM minimum with Q4_K_M quantization. For full precision, you need 4.3GB VRAM.
What is the best quantization for Phi-4 Mini 3.8B?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.