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Phi-3.5-MoE-instruct

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 πŸ“° Phi-3 Microsoft Blog πŸ“– Phi-3 Technical Report πŸ‘©β€πŸ³ Phi-3 Cookbook πŸ–₯️ Try It MoE references: πŸ“œPhi-3.5-MoE Blog | 😁GRIN MoE

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 πŸ“° Phi-3 Microsoft Blog πŸ“– Phi-3 Technical Report πŸ‘©β€πŸ³ Phi-3 Cookbook πŸ–₯️ Try It MoE references: πŸ“œPhi-3.5-MoE Blog | 😁GRIN MoE

Sources

huggingface.co β†—