ai model report

Is optimum-intel-internal-testing/tiny-random-maira2 safe to load?

LOW risk. 4 of 56 tracked dependencies carry advisories. Driven by No version-matched advisories and no malicious packages..

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// posture
advisories 100provenance 75resolution 80xyz safety 100load safety 100supply chain 100scanner trust 100code execution 25
fig. 01 — posture on eight axes, 100 is clean. Weakest: code execution at 25.
// the finding
not scoredno advisory applies to a version this model pinsLOW

MEDIUMconfig.json declares `auto_map` — from_pretrained(trust_remote_code=True) executes Python shipped in this repo.

2 more findings on this model.

Author
optimum-intel-internal-testing
Downloads
77,145
Remote code
ships Python that runs on load (trust_remote_code)
// dependencies

7 direct, 7 with findings, 52 reachable

PackageEvidenceAdvisoriesWorst
pillowdirect, runtime76none pinned
transformersdirect, runtime24none pinned
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Risk computed 2026-10-09 at 23:47 UTC. Dependencies come from the model's requirements, its declared loader and the code it ships; advisories from NVD, GHSA and OSV.

Model risk is computed from the model's declared and observed Python dependencies and the code it ships. If a finding is wrong, tell us.