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Qwen2.5-Omni: Multimodal AI Model

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Product Introduction

Qwen2.5-Omni is a flagship multimodal AI model developed by Alibaba Cloud's Tongyi Qianwen team. It seamlessly processes text, images, audio, and video inputs while generating text and natural speech outputs in real-time. Designed for comprehensive multimodal perception, it excels in tasks requiring audio, video, and image understanding.

Key Features

  • Multimodal Support: Handles text, images, audio, and video inputs simultaneously
  • Thinker-Talker Architecture: Combines semantic processing (Thinker) with speech synthesis (Talker)
  • Real-time Interaction: Provides immediate responses for conversations and video conferences
  • Advanced Speech Generation: Produces natural and stable speech output
  • Open Source Availability: Accessible on Hugging Face, ModelScope, DashScope, and GitHub

Product Data

  • Monthly Visits: 474564576
  • Bounce Rate: 36.20%
  • Pages per Visit: 6.1
  • Average Visit Duration: 00:06:34

Qwen2.5-Omni on GitHub


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