The rise of open source AI models has been a game changer, with many organizations and individuals opting for these models over proprietary ones due to their lower entry costs.
These models also enable fine-tuning for specific use cases, offering unmatched flexibility and fostering collaboration across industries.
Microsoft has been a notable player in the space, and following an announcement by Shital Shah, an engineer at their research division, they have open-sourced Phi-4, a small language model (SLM).
Distributed under the MIT License, Phi-4 is a state-of-the-art 14 billion parameter SML that has been tailored for carrying complex reasoning tasks, outperforming popular models like Llama 3.3 and GPT-4o mini in benchmarks like MATH and GPQA.
Initially exclusive to Azure AI Foundry, Phi-4 is now available to everyone, offering a powerful utility for tasks requiring complex reasoning and nuanced understanding. It can be applied in areas like natural language inference, text summarization, content generation, and more.
This flexibility makes Phi-4 suitable for a wide range of applications, including research, product development, and experimentation in AI-powered solutions.
As for the benchmarks, here is a table that shows the Phi-4 pitched against other popular models, both small and large. 👇
Source: Microsoft Research
If you're looking for a more detailed understanding of Phi-4, be sure to check out the technical paper for an in-depth summary. It provides valuable insights into how the model works and the research behind it.
Want To Check It Out?
The downloadable weights for Phi-4 can be found on Hugging Face, where you will also find the model card. If you are still eager to learn more, then you can go through the initial announcement blog.
Ankush Das
Sourav Rudra
