Models and checkpoints

InfiGUI-G1 7B

A GUI-grounding checkpoint trained with adaptive exploration rewards and multiple candidate answers to improve instruction-to-element alignment.

AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.

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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: 2026-10-17T02:44:29Z
Resource ID: url:d70a755e3b2102f25f34

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: apache-2.0 (publisher model/dataset card metadata; third-party assets retain their own terms)

Recorded specifications

disabled: false
download url: https://huggingface.co/InfiX-ai/InfiGUI-G1-7B/tree/main
gated: false
hub id: InfiX-ai/InfiGUI-G1-7B

Explore related topics

GUI grounding Reinforcement learning

Scope and limitations

Four safetensors shards are public. The model card declares Apache-2.0 and identifies Qwen2.5-VL-7B-Instruct as its base. It is the G1 grounding checkpoint, distinct from the previously cataloged InfiGUI-R1 reasoning checkpoint; benchmark scores remain publisher claims.

Related resources

documented by: InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization

Primary evidence and verification

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editorial primary review
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Content fingerprint
253055f0f77266a64d2db5de8fd04c4202f4cda3be733dd1b00d8565116dd240
editorial primary review
Retrieved 2026-10-17T02:44:29Z. Supports: identity, release_status, details, licenses.weights.
Content fingerprint
10278eb0f1600557e432a0f8dde2c40cfffe12330ddb949b6a0fc02bfbc6c9ee
editorial primary review
Retrieved 2026-10-16T06:36:00Z. Supports: environments.
Content fingerprint
4b68c82a2dd0063a450bde34c8bffbd931565a91a2982a5b47be7e711815b284
huggingface card
Retrieved 2026-10-17T02:44:29Z. Supports: licenses.weights.
Content fingerprint
253055f0f77266a64d2db5de8fd04c4202f4cda3be733dd1b00d8565116dd240

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