Phi-4-Mini-Instruct - Lightweight Multilingual AI Model

About Model

Phi-4-Mini-Instruct is a compact and efficient AI model from the Phi-4 family, built on synthetic data and filtered publicly available datasets. It supports a 128K token context length and is optimized for multilingual reasoning, instruction following, and low-latency AI applications. The model incorporates supervised fine-tuning and direct preference optimization to enhance instruction adherence and response safety. Key Features: 1. Optimized for compute-efficient environments with 3.84B parameters. 2. Supports multiple languages with a large vocabulary for multilingual reasoning. 3. Strong performance in logical reasoning, math, and problem-solving tasks. 4. Enhanced safety measures using fine-tuning and direct preference optimization. 5. Supports function calling and tool usage, making it a useful AI assistant. Intended Uses: Phi-4-Mini-Instruct is designed for commercial and research applications, including: 1. AI-powered chatbots for multilingual communication. 2. Generative AI assistants for text summarization and content generation. 3. Reasoning-based AI models for problem-solving and structured knowledge tasks. 4. Memory-efficient AI deployment in compute-constrained environments.