Microsoft
Phi-3.5 Mini 3.8B
Tiny but capable 3.8B model. Runs on almost any hardware including phones.
3.8B parametersphi3mit128K context2.73GB - 4.28GB VRAM
Check Your Hardware
See which quantizations of Phi-3.5 Mini 3.8B your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 2.229 GB | 2.73 GB | 3.23 GB | 85% |
| Q5_K_M | 5.5 | 2.622 GB | 3.12 GB | 3.62 GB | 90% |
| Q8_0 | 8 | 3.782 GB | 4.28 GB | 4.78 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-3.5 Mini 3.8B?
Phi-3.5 Mini 3.8B requires 2.73GB VRAM minimum with Q4_K_M quantization. For full precision, you need 4.28GB VRAM.
What is the best quantization for Phi-3.5 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.