S

Smolvlm2 2.2B Instruct

Developed by HuggingFaceTB
SmolVLM2-2.2B is a lightweight multimodal model designed for analyzing video content. It can process video, image, and text inputs and generate text outputs.
Downloads 62.56k
Release Time : 2/8/2025

Model Overview

This model can answer questions about media files, compare visual content, or transcribe text from images. It is suitable for device-side applications with limited computing resources.

Model Features

Lightweight and efficient
Only 5.2GB of GPU memory is required for video inference, making it suitable for environments with limited resources
Multimodal support
It can process video, image, and text inputs simultaneously and support the interleaving of multiple media types
Suitable for device-side
Its small size makes it particularly suitable for running on devices with limited computing resources
Strong task performance
Despite its small size, it performs strongly on complex multimodal tasks

Model Capabilities

Visual question answering
Video content description
Image content description
Multi-image comparison and analysis
Text transcription
Storytelling based on visual content

Use Cases

Content analysis
Video highlight generation
Analyze video content and generate descriptions of key events
Can be used for automatic video summary generation
Visual question answering
Answer specific questions about image or video content
Achieved 51.5 points in the Mathvista benchmark test
Document processing
Text transcription
Extract and transcribe text content from images
Achieved 72.9 points in the OCRBench benchmark test
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase