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Qwen2 VL 7B Visual Rft Lisa IoU Reward
Qwen2-VL-7B-Instruct is a vision-language model based on the Qwen2 architecture, supporting multimodal input of images and text, suitable for various visual-language tasks.
Downloads 726
Release Time : 3/12/2025
Model Overview
This model is a 7B-parameter vision-language model capable of processing image and text inputs to generate text outputs. It is suitable for tasks such as image captioning and visual question answering.
Model Features
Multimodal Input
Supports multimodal input of images and text, enabling reasoning that combines visual and linguistic information.
Instruction Following
Fine-tuned for instruction following, enabling better understanding and execution of user instructions.
Large-Scale Parameters
The 7B-parameter scale provides strong reasoning and generation capabilities.
Model Capabilities
Image Captioning
Visual Question Answering
Multimodal Reasoning
Text Generation
Use Cases
Image Understanding
Image Caption Generation
Generates detailed textual descriptions for input images.
Produces accurate and rich image descriptions.
Visual Question Answering
Answers natural language questions about image content.
Provides accurate answers explaining the content of the image.
Multimodal Interaction
Multimodal Dialogue
Engages in dialogue interactions combining image and text inputs.
Generates natural language responses related to the image content.
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