# Smol2Operator: Post-Training GUI Agents for Computer Use

DevFeed: [Smol2Operator: Post-Training GUI Agents for Computer Use](<https://devfeed.tech/articles/smol2operator-post-training-gui-agents-for-computer-use-7476.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/smol2operator>)

Author: Amir Mahla; merve; Sergio Paniego; Vaibhav Srivastav; Lewis Tunstall

Published: 2025-09-23T00:00:00Z

Content type: article

Language: en

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

Topics: [gui-agents](<https://devfeed.tech/topics/gui-agents.md>), [computer-use](<https://devfeed.tech/topics/computer-use.md>), [post-training](<https://devfeed.tech/topics/post-training.md>), [vlm](<https://devfeed.tech/topics/vlm.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agents](<https://devfeed.tech/tags/agents.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [blog](<https://devfeed.tech/tags/blog.md>), [community](<https://devfeed.tech/tags/community.md>), [computer-use](<https://devfeed.tech/tags/computer-use.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [gui](<https://devfeed.tech/tags/gui.md>), [gui-agents](<https://devfeed.tech/tags/gui-agents.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [post-training](<https://devfeed.tech/tags/post-training.md>), [science](<https://devfeed.tech/tags/science.md>), [training](<https://devfeed.tech/tags/training.md>), [vision](<https://devfeed.tech/tags/vision.md>), [vlm](<https://devfeed.tech/tags/vlm.md>)

## AI overview

This article presents a multi-phase method for post-training vision-language models to perform GUI automation and computer-use tasks. It covers data processing, action standardization, grounding, supervised fine-tuning, agentic reasoning, and evaluation with the ScreenSpot-v2 benchmark, using SmolVLM2-2.2B-Instruct as the baseline model.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.