AI is happening. The future is updating.Phi-3.5-mini-instruct
π**Phi-4**: [multimodal-instruct | onnx]; [mini-instruct | onnx] 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. π‘ Phi-3 Portal π° Phi-3 Microsoft Blog π Phi-3 Technical Report π©βπ³ Phi-3 Cookbook π₯οΈ Try It
π**Phi-4**: [multimodal-instruct | onnx]; [mini-instruct | onnx] 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. π‘ Phi-3 Portal π° Phi-3 Microsoft Blog π Phi-3 Technical Report π©βπ³ Phi-3 Cookbook π₯οΈ Try It