UI-S1 7B

A mobile GUI checkpoint trained with semi-online reinforcement learning that uses offline trajectories to improve multi-turn action prediction.

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

What is this resource?

Resource type

Models and checkpoints

Environment

android

Topics

reinforcement-learning, mobile-navigation, action-prediction

Record publication date

Not recorded

Evidence retrieved

2026-10-17T04:03:41Z

Resource ID

url:1c4ee99a9a55ae71a7ac

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/mPLUG/UI-S1-7B/tree/main

gated

false

hub id

mPLUG/UI-S1-7B

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Scope and limitations

Four public safetensors shards are present. The card declares Apache-2.0 for the weights. The project publishes only a portion of its training data; no complete training corpus or independent reproduction is inferred.

Related resources

• documented by: UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning

Primary evidence and verification

Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.

1. editorial primary review

   Retrieved 2026-10-17T04:03:41Z. Supports: name, kind, relations, licenses.weights.

   Content fingerprint

   341abd3833131080682b27fe0b79e310d7cf9465602b77b8e399e45200552d61
2. editorial primary review

   Retrieved 2026-10-17T04:03:40Z. Supports: identity, release_status, details, licenses.weights.

   Content fingerprint

   d0c25fa2fad8372ffc8b51b63701c7e5548cca08a612c0081c4c317f9532894d
3. editorial primary review

   Retrieved 2026-10-17T04:06:57Z. Supports: summary, environments, topics, scope.

   Content fingerprint

   f668c890a5a87953a243715d0d47367c23f0c99b524d80f48bbdde8163f3e942
4. huggingface card

   Retrieved 2026-10-17T04:03:41Z. Supports: licenses.weights.

   Content fingerprint

   341abd3833131080682b27fe0b79e310d7cf9465602b77b8e399e45200552d61

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