ai model report

Is ai-sage/GigaAM-v3 safe to load?

HIGH risk. 6 of 153 tracked dependencies carry advisories. Driven by lightning 2.6.5 · GHSA-qqmf-gpg7-g8gw.

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// posture
advisories 100provenance 100resolution 80xyz safety 58load safety 20supply chain 100scanner trust 100code execution 25
fig. 01 — posture on eight axes, 100 is clean. Weakest: load safety at 20.
// the finding
4.2xyz score out of 10HIGH

HIGH1 confirmed finding(s) in the transitive closure; declared dependencies alone rate LOW

2 more findings on this model.

Author
ai-sage
Task
automatic-speech-recognition
License
mit
Downloads
320,217
Remote code
ships Python that runs on load (trust_remote_code)
// dependencies

8 direct, 5 with findings, 145 reachable

PackageEvidenceAdvisoriesWorst
lightningtransitive, transitive1HIGH
transformersdirect, runtime23none pinned
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Risk computed 2026-09-22 at 18:49 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 ai-sage/GigaAM-v3 safe to load? AI model security report | CyberXYZ