Overview

Qwen-VL is an LMM (large multimodal model) developed by Alibaba Cloud. Qwen-VL accepts images, text, and bounding boxes as inputs. The model can output text and bounding boxes. Qwen-VL naturally supports English, Chinese, and multilingual conversation. Thus, this model may be worth exploring if you have a use case where you expect Chinese and English to be used in prompts or answers. Currently, Qwen-VL outperforms both ChatGPT and Gemini on Chinese question answering tasks, which is a massive milestone for the open-source model.

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Performance

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Qwen-VL achieves state-of-the-art results on zero shot captioning, where it outperforms previous generalist models on 4 benchmarks. Despite its relatively small size, due to its higher image resolution processing, it is able to compete with slightly larger state-of-the-art models.

Use This Model

Label Data Automatically with QwenVL

You can automatically label a dataset using QwenVL with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use QwenVL to train a computer vision model.

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