A beginner’s guide to the Minicpm-V-45-V9 model by Sai88uk on Replicate

This content originally appeared on DEV Community and was authored by aimodels-fyi

This is a simplified guide to an AI model called Minicpm-V-45-V9 maintained by Sai88uk. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

The minicpm-v-45-v9 model represents a significant advancement in multimodal AI, delivering GPT-4o level performance for single image, multi-image, and high-FPS video understanding. This 8B parameter model, maintained by sai88uk, outperforms major proprietary models including GPT-4o-latest, Gemini-2.0 Pro, and Qwen2.5-VL 72B in vision-language capabilities. The model builds on the successful MiniCPM-V-4_5 architecture while introducing enhanced video processing capabilities that set it apart from other multimodal models like MiniCPM-V-4.

Model inputs and outputs

The model accepts multiple input types for comprehensive multimodal understanding, with particular strength in processing high-resolution images and videos efficiently. The thinking mode feature allows users to choose between fast processing for everyday tasks and deep reasoning for complex problems.

Inputs

• image: Input image in URI format for single image analysis and chat
• video: Input video file in URI format for video analysis and understanding
• question: Text query about the provided image or video content
• thinking_mode: Selectable reasoning mode (fast, deep, or ultra) for different complexity needs
• video_fps: Configurable frame rate between 0.5-10 FPS, automatically adjusted for longer videos

Outputs

• text: Generated text response providing detailed analysis, descriptions, or answers to queries

Capabilities

This model excels at high-density vide...

Click here to read the full guide to Minicpm-V-45-V9

This content originally appeared on DEV Community and was authored by aimodels-fyi

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