DeepSeek-VL2-Small
Advanced large-scale hybrid expert visual language model
Product Details
DeepSeek-VL2 is a series of advanced large-scale hybrid expert (MoE) visual language models that are significantly improved compared to the previous generation DeepSeek-VL. This model series has demonstrated excellent capabilities in a variety of tasks such as visual question answering, optical character recognition, document/table/chart understanding, and visual localization. DeepSeek-VL2 consists of three variants: DeepSeek-VL2-Tiny, DeepSeek-VL2-Small and DeepSeek-VL2, with 1 billion, 2.8 billion and 4.5 billion activation parameters respectively. DeepSeek-VL2 achieves competitive or state-of-the-art performance compared to existing open source intensive and MoE-based models with similar or fewer activation parameters.
Main Features
How to Use
Target Users
The target audience is developers and enterprises that need to perform visual language processing, such as researchers in the fields of image recognition and natural language processing, as well as companies that need to integrate visual question and answer functions in commercial products. DeepSeek-VL2-Small, because of its advanced visual language understanding and multi-modal processing capabilities, is particularly suitable for scenarios that require processing large amounts of visual data and extracting useful information from them.
Examples
Recognition and description of specific objects in images using DeepSeek-VL2-Small.
In e-commerce platforms, DeepSeek-VL2-Small is used to provide detailed visual question and answer services for product images.
In the field of education, DeepSeek-VL2-Small is used to assist students in understanding complex charts and image data.
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