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Phi-2

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description Phi-2 Overview

Phi-2 is a 2.7-billion-parameter transformer language model developed by Microsoft, released in December 2023. It was trained using a methodology emphasizing curated high-quality data, including synthetic data and filtered web content, to improve reasoning capabilities relative to model size. Phi-2 is part of Microsoft's Phi series of small language models, which demonstrated that models with fewer parameters can achieve competitive results on reasoning and coding benchmarks through focused data curation.

help Phi-2 FAQ

What is Microsoft's Phi-2 model?

Phi-2 is a 2.7-billion-parameter language model released by Microsoft in December 2023. It was designed to demonstrate that smaller models, trained on high-quality data, can achieve strong reasoning performance.

How does Phi-2 perform compared to larger models?

Microsoft reported that Phi-2 outperformed significantly larger models on certain reasoning benchmarks, attributing the result to carefully curated training data. The model was positioned as evidence that data quality can substitute for raw scale.

When was Phi-2 released?

Phi-2 was released in December 2023 as part of Microsoft's ongoing Phi series of small language models. It succeeded earlier Phi models and preceded the Phi-3 family released in 2024.

How many parameters does Phi-2 have?

Phi-2 has 2.7 billion parameters, making it a relatively small model by contemporary standards. Its compact size was a deliberate design choice to enable efficient inference while maintaining competitive reasoning ability.

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