MiniCPM-V-2
| Property | Value |
|---|---|
| Parameter Count | 3.43B |
| Model Type | Multimodal LLM |
| Languages | English, Chinese |
| License | Apache-2.0 |
| Architecture | SigLip-400M + MiniCPM-2.4B with perceiver resampler |
What is MiniCPM-V-2?
MiniCPM-V-2 is a state-of-the-art multimodal large language model that combines powerful visual understanding with efficient deployment capabilities. Built on SigLip-400M and MiniCPM-2.4B architecture, it achieves comparable performance to Gemini Pro in scene text understanding while maintaining a compact size suitable for mobile deployment.
Implementation Details
The model utilizes a perceiver resampler architecture to efficiently process visual information, supporting images up to 1.8 million pixels (1344x1344) at any aspect ratio. It operates with BF16 precision and includes advanced features for both academic and commercial applications.
- Achieves state-of-the-art performance on multiple benchmarks including OCRBench, TextVQA, and MME
- First end-side LMM aligned via multimodal RLHF for trustworthy behavior
- Supports high-resolution image processing with efficient memory usage
- Bilingual capabilities in English and Chinese
Core Capabilities
- Advanced OCR and scene-text understanding comparable to Gemini Pro
- Trustworthy behavior with minimal hallucination
- High-resolution image processing at any aspect ratio
- Efficient deployment on mobile devices
- Strong bilingual multimodal capabilities
Frequently Asked Questions
Q: What makes this model unique?
MiniCPM-V-2 stands out for its combination of high performance and efficient deployment capabilities, matching GPT-4V in preventing hallucinations while being compact enough to run on mobile devices.
Q: What are the recommended use cases?
The model excels in visual question answering, scene text understanding, document analysis, and general multimodal tasks in both English and Chinese. It's particularly suitable for mobile applications requiring robust visual understanding.
