| Property | Value |
|---|---|
| Parameter Count | 14 Billion |
| Context Length | 16K tokens |
| Training Data | 9.8T tokens |
| License | MIT |
| Release Date | December 12, 2024 |
| Model URL | HuggingFace |
What is phi-4?
Phi-4 is Microsoft's latest state-of-the-art language model, designed to deliver powerful AI capabilities in a relatively compact 14B parameter architecture. The model represents a significant advancement in efficient AI design, trained on a carefully curated blend of synthetic datasets, filtered public domain content, and high-quality academic materials.
Implementation Details
Built as a dense decoder-only Transformer model, phi-4 was trained over 21 days using 1920 H100-80G GPUs. The model leverages advanced training techniques including supervised fine-tuning and direct preference optimization to ensure both high performance and robust safety measures.
- Architecture: Dense decoder-only Transformer
- Training Duration: 21 days
- Hardware: 1920 H100-80G GPUs
- Context Window: 16K tokens
Core Capabilities
- Advanced reasoning and logic processing
- Strong performance in math and science tasks (84.8% on MMLU)
- Excellent code generation capabilities (82.6% on HumanEval)
- Enhanced safety features through multi-stage alignment
- Optimized for memory-constrained environments
Frequently Asked Questions
Q: What makes this model unique?
Phi-4 stands out for its exceptional performance-to-size ratio, achieving competitive results against much larger models while maintaining a relatively compact 14B parameter size. It shows particularly strong capabilities in reasoning, math, and code generation tasks.
Q: What are the recommended use cases?
The model is ideal for scenarios requiring strong reasoning capabilities, memory-constrained environments, and latency-sensitive applications. It's particularly well-suited for research purposes and as a building block for generative AI features, especially in English language applications.