Model Summary Phi 3.5 MoE is a lightweight, state of the art open model built upon datasets used for Phi 3 synthetic data and filtered publicly available documents with a focus on very high quality, reasoning dense data. The model supports multilingual and comes with 128K context length (in tokens). The model underwent a rigorous enhancement process, incorporating 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 MoE references: 📜Phi 3.5 MoE Blog 😁GRIN MoE Phi 3.5 : [[mini instruct]](https://huggingface.co/microsoft/Phi 3.5 mini instruct); [[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 (especial…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy