🎉 Phi 4 : [multimodal instruct onnx]; [mini instruct onnx] Model Summary Phi 3.5 mini is a lightweight, state of the art open model built upon datasets used for Phi 3 synthetic data and filtered publicly available websites with a focus on very high quality, reasoning dense data. The model belongs to the Phi 3 model family and supports 128K token context length. The model underwent a rigorous enhancement process, incorporating both supervised fine tuning, proximal policy optimization, and direct preference optimization to ensure precise instruction adherence and robust safety measures. 🏡 Phi 3 Portal 📰 Phi 3 Microsoft Blog 📖 Phi 3 Technical Report 👩🍳 Phi 3 Cookbook 🖥️ Try It Phi 3.5 : [mini instruct onnx]; [[MoE instruct]](https://huggingface.co/microsoft/Phi 3.5 MoE instruct); [[vision instruct]](https://huggingface.co/microsoft/Phi 3.5 vision instruct) Intended Uses Primary Use Cases The model is intended for commercial and research use in multiple languages. 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 code, math and logic) Our mo…
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