🎉 Phi 4 : [mini reasoning reasoning] [multimodal instruct onnx]; [mini instruct onnx] Model Summary 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. 📰 Phi 4 mini Microsoft Blog 📖 Phi 4 mini Technical Report 👩🍳 Phi Cookbook 🏡 Phi Portal 🖥️ Try It Azure, Huggingface 🚀 Model paper Intended Uses Primary Use Cases The model is intended for broad multilingual commercial and research use. The model provides uses for general purpose AI systems and applications which require: 1) Memory/compute constrained environments 2) Latency bound scenarios 3) Strong reasoning (especially math and logic). The model is designed to accelerate research on language and multimodal models, for use as a building block for generative AI powered features. Use Case Considerations The model is not specifically designed o…
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