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README.md
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Phi-4-mini-reasoning is a lightweight open model built upon synthetic data with a focus on high-quality, reasoning dense data further finetuned for more advanced math reasoning capabilities.
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The model belongs to the Phi-4 model family and supports 128K token context length.
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📰 [Phi-4-mini-reasoning Blog](https://aka.ms/phi4-mini-reasoning/blog) <br>
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📖 [Phi-4-mini-reasoning Technical Report](https://aka.ms/phi4-mini-reasoning/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-reasoning is a lightweight open model built upon synthetic data with a focus on high-quality, reasoning dense data further finetuned for more advanced math reasoning capabilities.
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The model belongs to the Phi-4 model family and supports 128K token context length.
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📰 [Phi-4-mini-reasoning Blog](https://aka.ms/phi4-mini-reasoning/blog), and [Developer Article](https://techcommunity.microsoft.com/blog/azuredevcommunityblog/make-phi-4-mini-reasoning-more-powerful-with-industry-reasoning-on-edge-devices/4409764)<br>
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📖 [Phi-4-mini-reasoning Technical Report](https://aka.ms/phi4-mini-reasoning/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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