Qwen2.5-VL: High-Resolution Vision Encoding with Efficient Windowed Attention
Also impressive in language generation tasks!
The Qwen2-VL models are some of the most advanced vision-language models (VLMs) available, consistently outperforming other open-source models in most benchmarks. The largest version, Qwen2-VL-72B, even competes with commercial models like GPT-4o. We reviewed the models in this article:
Building on this, the Qwen team has released Qwen2.5-VL, which uses the latest Qwen2.5 LLMs and has been trained on more complex tasks. Qwen2.5-VL are today among the best open VLMs that you can run on your computer. It seems that the Qwen team has found a nearly optimal recipe, and datasets, to train excellent VLMs.
In this article, we will review this new version. We will focus on the main improvements over the previous version, especially regarding its architecture and training pipeline.