Models and checkpoints

MobileRL 9B checkpoint

A GLM-4.1V-based mobile action checkpoint released by the MobileRL project for Android interaction.

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: android
Topics: reinforcement-learning, mobile-navigation
Record publication date: Not recorded
Evidence retrieved: 2026-10-17T04:03:40Z
Resource ID: url:d5667c854845c77b9f5b

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)

Recorded specifications

disabled: false
download url: https://huggingface.co/xuyifan/MobileRL-9B/tree/main
gated: false
hub id: xuyifan/MobileRL-9B
languages: ["en"]

Explore related topics

Reinforcement learning Mobile navigation

Scope and limitations

Five public safetensors shards are present. The short card declares Apache-2.0 and a GLM-4.1V-9B base. The official project confirms the checkpoint and Android targets, and distinguishes MobileRL bounding-box actions from coordinate-format alternatives.

Related resources

documented by: MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents

Primary evidence and verification

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

editorial primary review
Retrieved 2026-10-17T04:03:40Z. Supports: name, kind, relations, licenses.weights, identity, release_status, details.
Content fingerprint
a00f13f5a86f2de7eb9c866cc4d08b958d21b2ac30dc3b9e1662e4bb336b7cb3
editorial primary review
Retrieved 2026-10-17T04:03:41Z. Supports: licenses.weights.
Content fingerprint
5c2d5eb247958f1af0646cbac831ecfbc7f839baa236a0d733075592da81f58e
editorial primary review
Retrieved 2026-10-16T06:36:04Z. Supports: summary, environments, relations, topics, scope.
Content fingerprint
752fad8ebd8b8eda03648329a6fc2585e5bcb2b96875b8aa2ce7d9f3fff78153
huggingface api
Retrieved 2026-10-17T04:03:40Z. Supports: details, licenses.weights.
Content fingerprint
a00f13f5a86f2de7eb9c866cc4d08b958d21b2ac30dc3b9e1662e4bb336b7cb3

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