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MiniCPM-o 2.6: GPT-4o Level MLLM for Vision, Speech, and Mobile Multimodal Live Streaming
MiniCPM-o 2.6 is a state-of-the-art multimodal large language model (MLLM) designed for efficient deployment on mobile devices. It excels in processing and understanding vision, speech, and integrates these capabilities for multimodal applications like live stream analysis.
Python
Added on 2025年6月11日19,587
Stars1,416
ForksPython
LanguageProject Introduction
Summary
MiniCPM-o 2.6 is a mobile-first MLLM achieving GPT-4o level performance for vision, speech, and multimodal tasks, making advanced AI accessible on smartphones.
Problem Solved
Bridging the gap between powerful, large-scale MLLMs and the need for performant, real-time multimodal AI capabilities on mobile devices.
Core Features
Vision Capability
Processes and understands visual information from images or video feeds.
Speech Capability
Transcribes, analyzes, and generates speech.
Multimodal Processing
Seamlessly integrates vision and speech inputs for complex understanding and interaction.
On-Device Performance
Designed for real-time processing on resource-constrained mobile devices.
Live Streaming Support
Enables real-time analysis of combined video and audio streams.
Tech Stack
PyTorch
TensorFlow Lite
Mobile AI Acceleration Frameworks (e.g., Core ML, NNAPI)
C++
Python
Use Cases
MiniCPM-o 2.6 is suitable for a variety of on-device multimodal AI applications, including but not limited to:
Mobile Multimodal Assistants
Details
Develop mobile applications that can understand voice commands and visual context simultaneously, like a smart assistant interacting with what the user sees.
User Value
Enables more natural and contextually aware user interfaces for mobile apps.
On-Device Live Stream Analysis
Details
Implement real-time analysis of live video streams combined with audio (e.g., analyzing presentations, lectures, or user interactions in real-time on a phone).
User Value
Provides instant insights and automated actions based on live multimodal data without server-side processing.
Accessible AI Applications
Details
Build accessibility features that describe visual scenes and spoken words simultaneously for users with disabilities.
User Value
Enhances accessibility by providing rich, real-time multimodal information directly on the user's device.
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