Models and checkpoints

ARPO UI-TARS-1.5-7B checkpoint

UI-TARS-1.5-7B-derived checkpoint trained with ARPO on OSWorld desktop tasks.

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

Original source ↗Read as MarkdownRecord JSON

What is this resource?

Resource type
Models and checkpoints
Environment
desktop, linux
Topics
reinforcement-learning, action-prediction
Record publication date
Not recorded
Evidence retrieved
2026-10-18T04:27:12Z
Resource ID
url:db6fc5f29f186d13991c

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
Not recorded

License review notes

Recorded specifications

disabled
false
download url
https://huggingface.co/Fanbin/ARPO_UITARS1.5_7B/tree/2c5604d86c529843ef346698edcf33b170c1e817
gated
false
hub id
Fanbin/ARPO_UITARS1.5_7B
hub revision
2c5604d86c529843ef346698edcf33b170c1e817
repository url
https://github.com/JIA-Lab-research/ARPO

Explore related topics

Reinforcement learningAction prediction

Scope and limitations

The public Hub manifest lists four Safetensors shards, an index and configuration/tokenizer files. The model card reports a 15-step evaluation setting; no performance result is independently reproduced. No weight license is declared, despite Apache-2.0 being established for the separate code repository.

Related resources

Primary evidence and verification

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  1. editorial primary review

    Retrieved 2026-10-18T04:27:12Z. Supports: name, kind, summary, environments, topics, scope, notes, relations.

    Content fingerprint839b2de0e0c614fe8d2df4782d0f6a6e7d33f5c60d8020c9d4a01c61d533f39e
  2. editorial primary review

    Retrieved 2026-10-18T04:33:21Z. Supports: identity, release_status, details.hub_id, details.hub_revision, details.gated, details.disabled, details.download_url.

    Content fingerprint6e19a5339c4e52ca3753cce26ac2034883b96f5cb26383a4b41bc87a5fbf5bf6
  3. editorial primary review

    Retrieved 2026-10-18T04:35:16Z. Supports: summary, notes, licenses.weights.

    Content fingerprintb6957fad37a7995e9dde4c7d4a4e0f6e2153b85354b2d234587c2a94ff95d0bd

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