MiniCPM-V is a state-of-the-art multimodal large language model (MLLM) designed for end-side devices, offering GPT-4o-level performance in vision, speech, and live streaming. Developed by OpenBMB, this model can process images, videos, text, and audio inputs, delivering high-quality outputs in an end-to-end fashion. With a compact 8B parameter size, MiniCPM-V outperforms many proprietary models like GPT-4V and Claude 3.5 Sonnet in various benchmarks.
Key Features:
- Vision Capabilities: Excels in single-image, multi-image, and video understanding tasks.
- Speech Capabilities: Supports bilingual real-time speech conversations with configurable voices and emotion/style control.
- Live Streaming: Handles continuous video and audio streams for real-time interaction.
- Efficiency: Optimized for mobile devices with superior token density, reducing memory usage and power consumption.
- Easy Deployment: Compatible with llama.cpp, vLLM, and other frameworks for quick local and online demos.
MiniCPM-V is ideal for developers looking to integrate advanced multimodal AI into mobile applications, offering a balance between performance and resource efficiency.