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README.md

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 Phi-4-mini-flash-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. 
 The model belongs to the Phi-4 model family and supports 64K token context length. 
  
-📰 [Phi-4-mini-flash-reasoning Blog](https://aka.ms/phi4-mini-flash-reasoning/blog), and [Developer Article](https://techcommunity.microsoft.com/blog/azuredevcommunityblog/make-phi4-mini-flash-reasoning-more-powerful-with-industry-reasoning-on-edge-devices/4409764)<br>
-📖 [Phi-4-mini-flash-reasoning Paper](https://aka.ms/phi4-mini-flash-reasoning/techreport) | [HF paper](https://huggingface.co/papers/2504.21233) <br>
+📰 [Phi-4-mini-flash-reasoning Blog](https://aka.ms/flashreasoning) <br>
+📖 [Phi-4-mini-flash-reasoning Paper](https://aka.ms/flashreasoning-paper) <br>
 👩‍🍳 [Phi Cookbook](https://github.com/microsoft/PhiCookBook) <br>
 🏡 [Phi Portal](https://azure.microsoft.com/en-us/products/phi) <br>
-🖥️ Try It [Azure](https://aka.ms/phi4-mini-flash-reasoning/azure) <br>
+🖥️ Try It [Azure](https://ai.azure.com/explore/models/Phi-4-mini-flash-reasoning/version/1/registry/azureml-phi-prod) <br>
  
  
-🎉**Phi-4 models**: [[Phi-4-reasoning](https://huggingface.co/microsoft/Phi-4-reasoning)] | [[multimodal-instruct](https://huggingface.co/microsoft/Phi-4-multimodal-instruct) | [onnx](https://huggingface.co/microsoft/Phi-4-multimodal-instruct-onnx)]; 
+🎉**Phi-4 models**: [[Phi-4-mini-reasoning](https://huggingface.co/microsoft/Phi-4-mini-reasoning)] | [[Phi-4-reasoning](https://huggingface.co/microsoft/Phi-4-reasoning)] | [[multimodal-instruct](https://huggingface.co/microsoft/Phi-4-multimodal-instruct) | [onnx](https://huggingface.co/microsoft/Phi-4-multimodal-instruct-onnx)]; 
 [[mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct) | [onnx](https://huggingface.co/microsoft/Phi-4-mini-instruct-onnx)]
 
 ## Intended Uses