Model Summary 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. The model belongs to the Phi 4 model family and supports 128K token context length. 📰 Phi 4 mini reasoning Blog, and Developer Article 📖 Phi 4 mini reasoning Technical Report HF paper 👩🍳 Phi Cookbook 🏡 Phi Portal 🖥️ Try It Azure 🎉 Phi 4 models : [Phi 4 reasoning] [multimodal instruct onnx]; [mini instruct onnx] Intended Uses Primary Use Cases Phi 4 mini reasoning is designed for multi step, logic intensive mathematical problem solving tasks under memory/compute constrained environments and latency bound scenarios. Some of the use cases include formal proof generation, symbolic computation, advanced word problems, and a wide range of mathematical reasoning scenarios. These models excel at maintaining context across steps, applying structured logic, and delivering accurate, reliable solutions in domains that require deep analytical thinking. Use Case Considerations This model is designed and tested for math reasoning only. It is not specifically designed or evaluated for all…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy