ai model report

Is m-a-p/MERT-v1-330M safe to load?

LOW risk. 3 of 82 tracked dependencies carry advisories. Driven by No version-matched advisories and no malicious packages..

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// posture
advisories 100provenance 75resolution 100xyz safety 100load safety 20supply chain 100scanner trust 65code execution 25
fig. 01 — posture on eight axes, 100 is clean. Weakest: load safety at 20.
// the finding
0.0xyz score out of 10LOW

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

2 more findings on this model.

Author
m-a-p
Task
audio-classification
Loader
transformers
License
cc-by-nc-4.0
Downloads
162,205
Remote code
ships Python that runs on load (trust_remote_code)
// dependencies

11 direct, 7 with findings, 75 reachable

PackageEvidenceAdvisoriesWorst
transformersdirect, runtime23none pinned
torchdirect, runtime13none pinned
Create a free accountto see all 82 dependencies, which versions are pinned, and what to change.

Risk computed 2026-09-22 at 18:51 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.
Is m-a-p/MERT-v1-330M safe to load? AI model security report | CyberXYZ