Q

Qwen2.5 VL 72B Instruct GGUF

Developed by lmstudio-community
A multimodal large model launched by Tongyi Qianwen, supporting image and text generation and 128k long context processing, with multilingual capabilities.
Downloads 668
Release Time : 5/8/2025

Model Overview

This is a multimodal instruction model that can process image and text inputs and generate text outputs. It supports long context, multilingual, and structured outputs, and is suitable for various AI tasks.

Model Features

Long context support
Supports a context length of 128k tokens, suitable for processing long documents and complex tasks.
Multimodal recognition
Can recognize objects, text, charts, icons, graphics, and layouts in images.
Visual intelligent agent
Can act as a visual agent for reasoning and dynamically call tools, with the ability to use computers and mobile phones.
Structured output
Can generate structured outputs and stable JSON formats.
Multilingual support
Supports input and output in multiple languages.

Model Capabilities

Image understanding
Text generation
Multimodal reasoning
Tool invocation
Structured data generation
Long document processing

Use Cases

Visual content analysis
Image description generation
Generate detailed text descriptions for the input images.
Accurately identify objects, scenes, and text content in the images.
Chart understanding
Analyze chart data in images and extract information.
Can understand common chart types and extract key data.
Intelligent agent
Computer - assisted operation
Guide computer operations based on visual input.
Can understand screen content and generate operation instructions.
Content generation
Structured report generation
Generate structured reports based on multimodal inputs.
Output stable JSON or other structured data.
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