Phi-3
#9 in Small & Edge Modelsmicrosoft · v3 · seit 2024-04-23 · 10× · zuletzt 30. Juni 2026
25
Momentum
Phi-3 is a family of small open-source language models (SLMs) from Microsoft, comprising Phi-3-mini (3.8B), Phi-3-small (7B), Phi-3-medium (14B), and the multimodal Phi-3-vision (4.2B). The models are trained on carefully curated high-quality synthetic data to maximize reasoning performance with minimal parameter count. They are designed for resource-constrained and edge/on-device environments and can be run locally via Ollama, Azure AI Studio, or Hugging Face. Models support up to 128K token context and are released under the MIT license.
Momentum trend
04.04.03.07.
Features
| Key Benchmark (%) | MMLU (5-Shot): Phi-3-mini 68.8%; Phi-3-small 75.7%; Phi-3-medium 78.0% |
| Context Window (Tokens) | 4K or 128K tokens (mini); Small: 8K/128K; Medium: 4K/128K |
| License | MIT License (open weights) |
| Multimodality | Text (mini/small/medium); Phi-3-vision (4.2B) additionally image+text |
| Platform | Azure AI Foundry/Studio, Hugging Face, Ollama, ONNX Runtime, NVIDIA NIM |
| Release Date | April 23, 2024 (Phi-3-mini); Phi-3-small/medium/vision: May 21, 2024 |
