Phi-3.5-mini is a lightweight, state-of-the-art open model developed using datasets from Phi-3, focusing on high-quality, reasoning-dense data from synthetic sources and filtered websites. It stands out with its ability to outperform models of similar and larger sizes.
Key Features of Phi-3.5
- Model Architecture: phi3
- Parameters: 3.82 billion
- Context Length: Supports 128K token context length
- Quantization: Q4_0
- Capabilities: Capable of long document/meeting summarization, long document QA, and long document information retrieval due to its 128K context length support
- Enhancements: Underwent supervised fine-tuning, proximal policy optimization, and direct preference optimization to ensure precise instruction adherence and robust safety measures
How to Use Phi-3.5
Given its long context capabilities, Phi-3.5-mini can be used for several tasks:
- Summarization: Summarize long documents or meetings.
- Question Answering: Answer questions based on long documents.
- Information Retrieval: Retrieve information from extensive documents.
Additional Information
- License: MIT License
- Model Size: 2.2GB
- Updated: The model was last updated 5 months ago
Conclusion
Phi-3.5-mini emerges as a powerful yet lightweight AI model, ideal for tasks requiring extensive context processing. Its robust design and focus on high-quality data make it a valuable tool for developers and researchers looking to leverage advanced AI capabilities efficiently.