Holotron-12B: a neural network for AI agents with twice the throughput

H Company has unveiled Holotron-12B, a model for computer-use agents built on NVIDIA Nemotron. The developers are betting on throughput: in a load test on a single H100, the model showed more than a twofold advantage over Holo2-8B, and on WebVoyager it rose from 35.1% to 80.5% after fine-tuning. The model is already published on Hugging Face and available for download.

AI-processed from Hugging Face Blog; edited by Hamidun News
Holotron-12B: a neural network for AI agents with twice the throughput
Source: Hugging Face Blog. Collage: Hamidun News.
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Holotron-12B is a multimodal neural network for AI agents that work with interfaces the way a user does, processing tasks twice as fast.

What is a computer-use AI agent?

It is a system that sees the screen, understands interface elements and picks the next action to complete a task, operating software the way a human would.

What is a neural network for interfaces used for?

It automates work with applications and web services: navigating menus, filling in forms and interacting with systems in a high-throughput mode.

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Key Questions Answered

What is a computer-use AI agent?

It is a system that sees the screen, understands interface elements and picks the next action to complete a task, operating software the way a human would.

What is a neural network for interfaces used for?

It automates work with applications and web services: navigating menus, filling in forms and interacting with systems in a high-throughput mode.

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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