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InternLM/InternLM-XComposer

A comprehensive multimodal AI system specializing in long-term streaming video and audio interactions, offering advanced vision-language understanding and composition.

Core Features

Comprehensive multimodal system for long-term streaming video and audio interactions.

Supports long-contextual input and output, seamlessly extending to 96K tokens.

Ultra-high resolution image understanding with a native 560x560 ViT vision encoder.

Fine-grained video understanding by treating videos as ultra-high-resolution composite pictures.

Achieves GPT-4V level capabilities with a compact 7B LLM backend.

Detailed Introduction

InternLM-XComposer is a cutting-edge multimodal AI system, particularly the 2.5-OmniLive version, designed for advanced long-term streaming video and audio interactions. It integrates robust vision-language capabilities, supporting extensive contextual inputs up to 96K tokens and ultra-high-resolution image processing. By treating videos as composite high-resolution images, it achieves fine-grained understanding. This project aims to provide a versatile and powerful open-source solution, demonstrating GPT-4V level performance with a compact 7B LLM backend, making it highly efficient for complex multimodal tasks.