IH Company issues Holo1.5: The open VLMs of the local GUI center and Ui-vqa

The H (French Ai Startup) issues Holo1.5, Open Founday Vision Vision Models Obtaining Computer (CU) Agents working on the user's genuine contacts and keyboard verbs. Release includes 3b, 7b, and 72b Checking written books ~ 10% accuracy to achieve over the holes of holes1. The 7B model is Apache-2.0; 3B and 72B to assume only as obstacles from increased base. Series aimed at two essential Core skills: Direct editions of UI element (suspend the submission) and to answer the visual question of UI (UI-compile) of the condition of the condition.

Why is it appropriate to do local things?

The birthplace is a form of an agent that transforms the purpose of pixel quality: “Open Spotify” → predict the right control links on the current screen. Failure here in CASCADE: One clicks on one of yourself can reduce the extension of an extension. Salary1.5 is trained and assessed on high-resolution screens (up to 3840 × 2160) across the desktop (Windows), Iconography and Iconography prices.

How is Hollo1.5 different from General VLMS?

The General VLMS will increase broad foundation and the heading: CUs Agents need reliable discretion of interface understanding. Holo1.5 adapts its data and objectives: SFT-Scale Sort in GUI activities followed by Grippo-Styless to strengthen complications and decisions. Models are delivered as elements to see that they are included in the editorial / management (eg, surfer style agents, not as the final agents.

Malary1.5 How do you do at local benches?

Salary1.5 reports the Gui-Furtury GUI incident in the Screenspot-V2 section, screen-Pro, Gratui-Web, Showdown, and WebClick. 7B numbers representable (more than six rates for local tracks:

• Holo1.5-7b: 77.32
• QWEN2.5-VL-7B: 60.73

Despite of- ScreensPot-Pro (Technical apps contain dense buildings), Holo1.5-7b reaches 57.94 vs 29.00 QWEN2.5-VL-7B, indicates the best choice of material things under sound conditions. 3B and 72B checkpoints show the same benefits related to their QWEN2.5-VL counterparts.

Does it improve the Union of UI (U-gqa)?

Yes. In Visuwebbench, WebSRC, and Screqu (short / complex), salary1.5 pours consistent accurate improvements. Reported 7B ratings reported ≈88.17with a different 72b around ≈90.00. This is important for Agent Trust: such questions as “Which tab is working?” or “Did the user log in?” Reduce Ambiguity and enable verification between actions.

How compared with special and closed programs?

Under published testing, Holo1.5 OFTERFORMS Open Basenes (QWEN2.5-VL), special tars, UI-VENUS)

What are the results of the combination of cu agents?

• Top-up clicks in Native Solution: The better performance of the Screenspot-Pro suggests reduction in the shortcuts of complex applications (ODES, Design Suites, Admin Conses).
• Tracking of Fitness Status: The highest implication of UI-Psqa promotes year's reception, valid tab, manifestation in the Modal manner, and Success / FAUS.
• How to Find Pragmatic License: 7b (apache-2.0) Ready for production. This page 72b Checkpoint is currently researching – only; Use inner tests or furrooms on the head.

What is the income1.5 where are you equal to a computer used in computer (CU)?

Think of Income1.5 as layer of prepending sدtion:

• Input: Full screenshots (with optional with UI metadata).
• Outgoing: intended to link confidently; Short Answers for Scriptures regarding Screen key.
• Downstream: The verb policies change the forecasts into clicks of click / keyboard; Monitor confirm post-return terms or causes return or returning.

Summary

HOLO1.5 Designs an active gap in CU systems in pairing solid linking to the hidden understanding. If you need a functional foundation for trades today, start with Holo1.5-7b (apache-2.0)Benchmark at your screen, and use your surrounding / safety layers.

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