Microsoft
This model was introduced in the paper GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents. It is developed based on Qwen2.5-VL-3B-Instruct , augmented by an attention-based action head and finetuned to perform GUI grounding using the dataset here.
Running this yourself: consumer gpu should be enough.
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23.4
Quality Score
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Arena ELO
4B
Parameters
25K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
18 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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797
Downloads
17
Likes
Jun 2025
Released
5/5 signals
3/4 signals
4/5 signals
3/4 signals
3/4 signals
Parameters
4B
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
Another No. 1 spot! MAI-Transcribe-2 takes first place for transcription accuracy in David AI's new benchmark. MAI-Transcribe-2 has the lowest error rate in 18 of 21 languages.
Another No. 1 spot! MAI-Transcribe-2 takes first place for transcription accuracy in David AI's new benchmark. MAI-Transcribe-2 has the lowest error rate in 18 of 21 languages.
View sourcemicrosoft/GUI-Actor-3B-Qwen2.5-VL · Hugging Face
Microsoft published benchmark or leaderboard evidence for GUI-Actor-3B-Qwen2.5-VL.
View sourcemicrosoft/GUI-Actor-3B-Qwen2.5-VL · Hugging Face
Microsoft published benchmark or leaderboard evidence for GUI-Actor-3B-Qwen2.5-VL.
View source