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## Model Summary
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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.
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🏡 [Phi-3 Portal](https://azure.microsoft.com/en-us/products/phi-3) <br>
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📰 [Phi-3 Microsoft Blog](https://aka.ms/phi3.5-techblog) <br>
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## Model Summary
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Athene-Phi-3.5-mini-instruct 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.
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🏡 [Phi-3 Portal](https://azure.microsoft.com/en-us/products/phi-3) <br>
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📰 [Phi-3 Microsoft Blog](https://aka.ms/phi3.5-techblog) <br>
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