Models and checkpoints

GUI-G1 3B v1

A Qwen2.5-VL-3B checkpoint released for R1-style visual grounding experiments, predicting interface target locations from screenshots and instructions.

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What is this resource?

Resource type: Models and checkpoints
Environment: cross-platform
Topics: grounding, reinforcement-learning
Record publication date: Not recorded
Evidence retrieved: 2026-10-17T02:44:30Z
Resource ID: url:9dc9d8d3b9a4b32d6f4b

What licenses are recorded?

Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.

Code: Not recorded
Data: Not recorded
Document: Not recorded
Weights: mit (publisher model/dataset card metadata; third-party assets retain their own terms)

Recorded specifications

disabled: false
download url: https://huggingface.co/Yuqi-Zhou/GUI-G1-3B-v1/tree/main
gated: false
hub id: Yuqi-Zhou/GUI-G1-3B-v1

Explore related topics

GUI grounding Reinforcement learning

Scope and limitations

Two public safetensors shards and model/tokenizer configuration are present. The card declares MIT. Its inference example loads the v1 model but names a different 0.1K processor checkpoint; that example was not executed, and compatibility is not asserted.

Related resources

documented by: GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents

Primary evidence and verification

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editorial primary review
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