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Internvl2 5 4B AWQ

Developed by rootonchair
InternVL2_5-4B-AWQ is the AWQ quantized version of InternVL2_5-4B using autoawq, supporting multilingual and multimodal tasks.
Downloads 29
Release Time : 3/3/2025

Model Overview

This model is the AWQ quantized version based on InternVL2_5-4B, suitable for image-text-to-text conversion tasks and supports multilingual processing.

Model Features

AWQ Quantization
Quantized using autoawq to reduce computational resource requirements during model inference.
Multimodal Support
Supports multimodal inputs of images and text, capable of handling complex vision-language tasks.
Multilingual Support
Supports processing in multiple languages, suitable for international application scenarios.

Model Capabilities

Image Caption Generation
Multi-turn Dialogue
Video Content Analysis
Multilingual Text Generation

Use Cases

Image Understanding
Image Caption Generation
Generate detailed textual descriptions based on input images.
The generated descriptions are accurate and detailed, capturing key elements in the image.
Video Analysis
Video Content Understanding
Analyze video frames and generate textual descriptions of the video content.
Capable of understanding dynamic content in videos and generating coherent descriptions.
Multi-turn Dialogue
Multi-turn Image Dialogue
Engage in multi-turn dialogues based on images, answering user questions about the images.
The dialogue is fluent and can provide accurate responses based on context.
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