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Qwen2.5 VL 7B Instruct Q4 K M GGUF

Developed by PatataAliena
This is the GGUF quantized version of the Qwen2.5-VL-7B-Instruct model, suitable for multimodal tasks and supports both image and text inputs.
Downloads 69
Release Time : 3/31/2025

Model Overview

A GGUF-format model converted from Qwen2.5-VL-7B-Instruct, designed for multimodal tasks involving image-to-text and text-to-text processing.

Model Features

Multimodal Support
Supports both image and text inputs, capable of handling complex multimodal tasks.
GGUF Format
Utilizes the GGUF format for easy integration with tools like llama.cpp.
Quantized Version
Quantized with Q4_K_M, balancing model performance and resource consumption.

Model Capabilities

Image Understanding
Text Generation
Multimodal Reasoning

Use Cases

Multimodal Interaction
Image Captioning
Generates detailed textual descriptions based on input images.
Produces accurate and expressive image captions.
Visual Question Answering
Answers questions about the content of input images.
Provides accurate answers related to image content.
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