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

Phi-3.5-MoE has 16x3.8B parameters with 6.6B active parameters when using 2 experts. The model is a mixture-of-expert decoder-only Transformer model using the tokenizer with vocabulary size of 32,064.

This is a static model trained on an offline dataset with 4.9T tokens and a cutoff date October 2023 for publicly available data. Future versions of the tuned models may be released as we improve models.