# H Company's new Holo2 model takes the lead in UI Localization

DevFeed: [H Company's new Holo2 model takes the lead in UI Localization](<https://devfeed.tech/articles/h-company-s-new-holo2-model-takes-the-lead-in-ui-localization-7009.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/Hcompany/introducing-holo2-235b-a22b>)

Author: Ramzi De Coster; Hamza Benchekroun; Aurélien Lac; Tony Wu; Pierre-Louis Cedoz; Kai Yuan; Mart Bakler; Antoine Bonnet; Aleix Cambray; Ronan Riochet

Published: 2026-02-03T17:40:14Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Localization (l10n)](<https://devfeed.tech/topics/localization.md>), [Model Development](<https://devfeed.tech/topics/model-development.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [skypilot](<https://devfeed.tech/topics/skypilot.md>), [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [company](<https://devfeed.tech/tags/company.md>), [development](<https://devfeed.tech/tags/development.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [jobs](<https://devfeed.tech/tags/jobs.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [model](<https://devfeed.tech/tags/model.md>), [model-development](<https://devfeed.tech/tags/model-development.md>), [models](<https://devfeed.tech/tags/models.md>), [performance](<https://devfeed.tech/tags/performance.md>), [release](<https://devfeed.tech/tags/release.md>), [research](<https://devfeed.tech/tags/research.md>), [scale](<https://devfeed.tech/tags/scale.md>), [skypilot](<https://devfeed.tech/tags/skypilot.md>), [training](<https://devfeed.tech/tags/training.md>), [ui](<https://devfeed.tech/tags/ui.md>)

## AI overview

H Company introduces Holo2-235B-A22B Preview, a research model for localizing UI elements in high-resolution interfaces. Its agentic mode iteratively improves predictions and achieves state-of-the-art results on ScreenSpot-Pro, while SkyPilot supports large-scale training across cloud providers and Kubernetes clusters.

## Source excerpt

Two months since releasing our first batch of Holo2 models, H Company is back with our largest UI localization model yet: Holo2-235B-A22B Preview. This model achieves a new State-of-the-Art (SOTA) record of 78.5% on Screenspot-Pro and 79.0% on OSWorld G. Available on Hugging Face, Holo2-235B-A22B Preview is a research release focused on UI element localization. Agentic Localization High-resolution 4K interfaces are challenging for localization models.