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Qwen2.5 VL 7B Instruct GGUF

Developed by lmstudio-community
The quantized model of Qwen2.5 VL 7B Instruct is a powerful multimodal model that supports image and text input and generates text output, with wide application value in multiple fields.
Downloads 11.29k
Release Time : 5/8/2025

Model Overview

Based on the quantized version of Qwen2.5-VL-7B-Instruct, it supports multimodal input and text output, and has the capabilities of long context processing, visual recognition, and structured output.

Model Features

Long context support
Supports a context length of 128k tokens, suitable for processing long text tasks.
Multimodal recognition
Can recognize common objects (such as flowers and birds) and analyze elements such as text and charts in images.
Visual intelligent agent
Can act as a visual intelligent agent for reasoning, dynamically call tools, and simulate computer and mobile phone operations.
Structured output
Good at generating structured output and stable JSON data.
Multilingual support
Has the ability to process multiple languages, suitable for different language environments.

Model Capabilities

Image understanding
Text generation
Multimodal reasoning
Structured data generation
Tool invocation

Use Cases

Visual intelligence
Image content analysis
Identify and describe objects, text, and layout in the image
Generate detailed image descriptions and analysis reports
Visual assistance tool
Simulate computer and mobile phone operations to assist visual tasks
Improve the efficiency and accuracy of visual tasks
Document processing
Chart analysis
Parse chart data in the image and generate structured output
Convert chart information into readable text or JSON format
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