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Qwen2 VL 2B Instruct GGUF
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Qwen2 VL 2B Instruct GGUF

Developed by gaianet
Qwen2-VL-2B-Instruct is a multimodal vision-language model that supports interaction between images and text, suitable for image understanding and generation tasks.
Image-to-Text EnglishOpen Source License:Apache-2.0#Multimodal Understanding#Long Context Processing#Image-Text Generation
Downloads 95
Release Time : 12/15/2024

Model Overview

Qwen2-VL-2B-Instruct is a vision-language-based multimodal model capable of handling interactive tasks involving images and text, suitable for image understanding and generation.

Model Features

Multimodal Support
Supports interaction between images and text, capable of handling complex multimodal tasks.
High Context Length
Supports context lengths of up to 32,000, suitable for processing long texts and complex tasks.
Quantization Support
Optimizes model efficiency in resource-limited environments through GGUF quantization.

Model Capabilities

Image Understanding
Text Generation
Multimodal Interaction

Use Cases

Image Understanding
Image Caption Generation
Generates detailed textual descriptions based on input images.
Multimodal Interaction
Image Question Answering
Answers user questions based on image content.
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