Phi-4-Multimodal-Instruct - Multimodal Foundation Model

About Model

Phi-4-Multimodal-Instruct is an advanced multimodal foundation model developed by Microsoft, designed to integrate language, vision, and speech for research and commercial applications. It builds upon the Phi-3.5 and Phi-4 models, supporting 128K token context length and incorporating supervised fine-tuning, direct preference optimization, and reinforcement learning from human feedback (RLHF) to enhance performance and safety. Key Features: Supports multiple modalities: Text: 24 languages, including Arabic, Chinese, English, French, Spanish, and more. Vision: Optimized for English image understanding. Audio: Supports English, Chinese, German, French, Italian, Japanese, Spanish, and Portuguese speech processing. Enhanced capabilities: Speech recognition and speech translation (outperforms WhisperV3 and SeamlessM4T). Strong reasoning in math, logic, and general knowledge. Vision-language understanding (chart/table comprehension, optical character recognition). Multi-image comparison and summarization. Speech summarization and QA. Function and tool calling for AI agents. State-of-the-art performance: Ranked #1 on the HuggingFace OpenASR leaderboard for speech recognition (March 2025). Vision processing benchmarks surpass models like Gemini-1.5-Pro and InternOmni-7B. Optimized for real-world applications: Works in memory-constrained environments and low-latency scenarios. Trained on 5 trillion text tokens, 2.3 million speech hours, and 1.1 trillion image-text tokens. Intended Uses: Phi-4-Multimodal-Instruct is designed for broad multilingual and multimodal research and commercial applications, including: 1. General AI assistants for reasoning and knowledge retrieval. 2. Speech AI models for transcription, translation, and summarization. 3. Computer vision AI for image-text comprehension and optical character recognition (OCR). 4. Medical AI research for language-vision understanding. 5. Education and coding AI for knowledge-based tasks.