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Reading: H Company’s Holo2 Model Sets the Standard in UI Localization Excellence
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AIModelKit > Open-Source Models > H Company’s Holo2 Model Sets the Standard in UI Localization Excellence
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H Company’s Holo2 Model Sets the Standard in UI Localization Excellence

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Last updated: February 3, 2026 7:00 pm
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H Company’s Holo2 Model Sets the Standard in UI Localization Excellence
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</div></div></div>

Unveiling Holo2-235B-A22B Preview: A New Era in UI Localization

After a mere two months since the introduction of our inaugural Holo2 models, H Company is excited to announce the launch of the Holo2-235B-A22B Preview, marking our most substantial advancement in UI localization to date. This latest model sets a groundbreaking State-of-the-Art (SOTA) benchmark, achieving an impressive 78.5% accuracy on the ScreenSpot-Pro and 79.0% on the highly regarded OSWorld G.

What Makes Holo2-235B-A22B Unique?

The Holo2-235B-A22B Preview is now readily accessible on Hugging Face, and it is engineered specifically for UI element localization, which makes it an invaluable tool for developers and designers looking to enhance the user experience across applications and platforms.

Holo2 Benchmark Table

Pioneering Agentic Localization

One of the standout features of this new model is its agentic localization capability. Modern-day applications often boast high-resolution displays with intricate UI elements, making localization a significant challenge. Holo2 effectively addresses this by iteratively refining its predictions. This iterative process enhances accuracy and can lead to a remarkable 10-20% improvement in performance across all Holo2 model sizes.

Performance Breakdown on ScreenSpot-Pro

When tested, the Holo2-235B-A22B Preview demonstrated a robust accuracy of 70.6% in a single-step evaluation on ScreenSpot-Pro. However, it shines in its agentic mode, where it achieves 78.5% accuracy within just three steps. This performance sets a new standard in the highly competitive landscape of GUI grounding benchmarks.

Cost Performance ScreenSpot-Pro

Implications for the Future of UI Localization

The launch of the Holo2-235B-A22B Preview signifies a major leap forward in how we approach UI localization. By employing advanced machine learning techniques like agentic localization, it not only enhances precision but also streamlines the workflow for developers. With these capabilities, we can expect a more seamless user experience and engagement in applications that integrate this new technology.

Stay tuned as H Company continues to push the boundaries of what’s possible in the world of UI localization, making tools and technologies that facilitate better interaction and usability across diverse platforms.

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