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Qwen2.5 VL 7B Instruct GGUF
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Qwen2.5 VL 7B Instruct GGUF

Developed by samgreen
Qwen2.5-VL-7B-Instruct is a multimodal vision-language model that supports image-text generation tasks.
Image-to-Text EnglishOpen Source License:Apache-2.0#Multimodal Image Understanding#Chinese Visual Question Answering#Low-Resource Deployment
Downloads 5,052
Release Time : 3/21/2025

Model Overview

Based on the Qwen2.5 architecture, this model can understand and generate text related to images, making it suitable for tasks such as image captioning and visual question answering.

Model Features

Multimodal Support
Capable of processing both image and text information to achieve cross-modal understanding and generation.
Efficient Inference
Optimized through quantization techniques to support operation on resource-limited devices.

Model Capabilities

Image Caption Generation
Visual Question Answering
Cross-Modal Understanding

Use Cases

Content Generation
Image Captioning
Generate detailed textual descriptions for images.
Produces accurate and expressive image captions.
Assistive Tools
Visual Question Answering
Answer natural language questions about image content.
Provides accurate answers related to image content.
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