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README.md
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Phi-4-mini-instruct is a lightweight open model built upon synthetic data and filtered publicly available websites - with a focus on high-quality, reasoning dense data. The model belongs to the Phi-4 model family and supports 128K token context length. The model underwent an enhancement process, incorporating both supervised fine-tuning and direct preference optimization to support precise instruction adherence and robust safety measures.
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📰 [Phi-4-mini Microsoft Blog](https://aka.ms/
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📖 [Phi-4-mini Technical Report](https://aka.ms/phi-4-multimodal/techreport) <br>
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👩🍳 [Phi Cookbook](https://github.com/microsoft/PhiCookBook) <br>
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🏡 [Phi Portal](https://azure.microsoft.com/en-us/products/phi) <br>
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Phi-4-mini-instruct is a lightweight open model built upon synthetic data and filtered publicly available websites - with a focus on high-quality, reasoning dense data. The model belongs to the Phi-4 model family and supports 128K token context length. The model underwent an enhancement process, incorporating both supervised fine-tuning and direct preference optimization to support precise instruction adherence and robust safety measures.
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📰 [Phi-4-mini Microsoft Blog](https://aka.ms/phi4-feb2025) <br>
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📖 [Phi-4-mini Technical Report](https://aka.ms/phi-4-multimodal/techreport) <br>
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👩🍳 [Phi Cookbook](https://github.com/microsoft/PhiCookBook) <br>
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🏡 [Phi Portal](https://azure.microsoft.com/en-us/products/phi) <br>
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