ai model report

Is aac6fef/laya-mlx safe to load?

CLEAN risk. 2 of 3 tracked dependencies carry advisories. Driven by No version-matched advisories and no malicious packages..

View on HuggingFace

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

INFO2 package(s) in the runtime/inferred stack carry advisories. Not counted toward risk — no version is declared, so we can't say which one gets installed.

Author
aac6fef
Task
text-classification
Loader
mlx
License
apache-2.0
Downloads
0
Remote code
not required
// dependencies

2 direct, 2 with findings, 1 reachable

PackageEvidenceAdvisoriesWorst
numpydirect, inferred8none pinned
mlxdirect, runtime2none pinned
Create a free accountto see all 3 dependencies, which versions are pinned, and what to change.

Risk computed 2026-09-25 at 20:54 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.