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Qwen.qwen2.5 VL 3B Instruct GGUF
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Qwen.qwen2.5 VL 3B Instruct GGUF

Developed by DevQuasar
Qwen2.5-VL-3B-Instruct is a 3B-parameter vision-language model that supports image-to-text generation tasks.
Image-to-Text#Multimodal Image-Text Understanding#3B Parameter Lightweight#Instruction Fine-Tuning Optimization
Downloads 1,107
Release Time : 3/26/2025

Model Overview

This model is a multimodal model capable of understanding and generating responses based on images and text, suitable for tasks requiring combined visual and linguistic comprehension.

Model Features

Multimodal Understanding
Capable of processing both image and text inputs to generate relevant textual outputs.
Instruction Following
Supports instruction-based generation, enabling content generation based on user instructions.
Quantization Support
Provides quantized versions for easier deployment in resource-constrained environments.

Model Capabilities

Image Understanding
Text Generation
Multimodal Reasoning
Instruction Following

Use Cases

Content Generation
Image Captioning
Generates detailed textual descriptions based on input images.
Visual Question Answering
Answers natural language questions about image content.
Education
Multimodal Learning Assistance
Provides learning aids and explanations by combining images and text.
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