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Internvideo2 Chat 8B InternLM2 5

Developed by OpenGVLab
InternVideo2-Chat-8B-InternLM2.5 is a video-text multimodal model that enhances video understanding and human-computer interaction by integrating the InternVideo2 video encoder with a large language model (LLM).
Downloads 60
Release Time : 8/20/2024

Model Overview

This model adopts a progressive learning scheme, combining video BLIP and open-source LLM, supporting HD video input and long-context processing, suitable for video content understanding and dialogue tasks.

Model Features

HD Video Processing
Supports HD video input, improving video content understanding quality through specialized processing techniques.
Long Context Support
The base LLM supports a long-context window of 1 million tokens, making it suitable for processing lengthy video content.
Progressive Learning
Adopts the progressive learning scheme from VideoChat, optimizing the interaction between the video encoder and language model.

Model Capabilities

Video content understanding
Video content description generation
Video question answering
Video event causality analysis
Video object detail recognition

Use Cases

Video Content Analysis
Video Content Description
Provides step-by-step descriptions of video content, identifying key events and objects.
Accurately identifies action sequences and key objects in videos.
Video Question Answering
Answers specific questions about video content.
Provides accurate answers based on video content.
Human-Computer Interaction
Video Dialogue System
Engages in natural language interaction with users based on video content.
Delivers smooth video-related conversational experiences.
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