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title: Smol2Operator: Post-Training GUI Agents for Computer Use
description: Hugging Face introduces Smol2Operator, a comprehensive approach for training lightweight vision-language models to perform GUI automation tasks. The...
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# Smol2Operator: Post-Training GUI Agents for Computer Use

**[Hugging Face](https://daily.dev/sources/huggingface)** · 12 min read · 2 upvotes · 0 comments

## Summary

Hugging Face introduces Smol2Operator, a comprehensive approach for training lightweight vision-language models to perform GUI automation tasks. The methodology transforms a base model with zero grounding capabilities into an agentic GUI coder through a two-phase training process. Phase 1 establishes GUI grounding using action-instruction pairs, while Phase 2 develops agentic reasoning capabilities. The approach achieves 61% accuracy on ScreenSpot-v2 benchmark and includes complete open-source training recipes, datasets, preprocessing tools, and the resulting model to enable full reproducibility.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://huggingface.co/blog/smol2operator>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#computer-vision](https://daily.dev/tags/computer-vision), [#huggingface](https://daily.dev/tags/huggingface), [#vlm](https://daily.dev/tags/vlm)

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