Holo1: New family of GUI automation VLMs powering GUI agent Surfer-H

Today, at H Company, we are releasing Holo1 , a family of Action Vision Language Models (VLMs) and WebClick , a new multimodal localization benchmark on the Hugging Face Hub.

Surfer-H , a web-native agent that interacts with browsers like a human relies on the Holo1.

Holo1 is the first family of open-source Action VLMs designed specifically for deep web UI understanding and precise localization. The family includes Holo1-3B and Holo1-7B models, with the latter achieving 76.2% average accuracy on common UI localization benchmarks—the highest among small-size models. H Company has released these models with open-source on Hugging Face , along with the WebClick benchmark containing 1,639 human-like UI tasks.

Holo1 models are based on the Qwen2.5-VL architecture, and are fully compatible with transformers. Here we provide a simple usage example. You can load the model and the processor as follows.

Surfer-H relies on the Holo1 family of open-weights models. It is a modular architecture for complete web task automation, which performs reading, thinking, clicking, scrolling, typing, and validating. It is designed to be flexible and modular, composed of three independent components: a Policy model that plans and drives the agent's behavior, a Localizer model that understands visual UIs for precise interactions, and a Validator model that confirms whether tasks are completed successfully. Unlike other agents that rely on custom APIs or brittle wrappers, Surfer-H operates purely through the browser — just like a real user.

Web automation represents one of AI's most practical applications for businesses, but until now, solutions have often sacrificed cost-efficiency for performance. By making our Holo1 Action Models available in Hugging Face, users can now implement web automation solutions that achieve 92.2% accuracy on real-world web tasks at only $0.13 per task.

Together, these solutions represent a new frontier in web automation, achieving state-of-the-art localization performance and setting the Pareto frontier in cost-efficient web navigation on the WebVoyager benchmark:

We're looking forward to see what you'll build with Holo1! Let's meet under the discussion tab of this blog post and the model repository!