ai model report

Is google/gemma-4-31B-it-qat-q4_0-unquantized safe to load?

CLEAN risk. 3 of 34 tracked dependencies carry advisories. Driven by No version-matched advisories and no malicious packages..

View on HuggingFace

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

INFOconfig.json was authored against transformers 5.6.2, which has known advisories. Consumers normally install a current version — this only bites if you pin for reproducibility.

1 more finding on this model.

Author
google
Task
image-text-to-text
Loader
transformers
License
apache-2.0
Downloads
85,669
Remote code
not required
// dependencies

7 direct, 4 with findings, 28 reachable

PackageEvidenceAdvisoriesWorst
transformersdirect, runtime23none pinned
torchdirect, inferred13none pinned
Create a free accountto see all 34 dependencies, which versions are pinned, and what to change.

Risk computed 2026-09-25 at 11:50 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 google/gemma-4-31B-it-qat-q4_0-unquantized safe to load? AI model security report | CyberXYZ