ai model report

Is peft-internal-testing/tiny-OPTForCausalLM-lora safe to load?

MEDIUM risk. 4 of 54 tracked dependencies carry advisories. Driven by No version-matched advisories and no malicious packages..

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

MEDIUM1 confirmed finding(s) in the transitive closure; declared dependencies alone rate CLEAN

1 more finding on this model.

Author
peft-internal-testing
Loader
peft
Downloads
166,768
Remote code
not required
// dependencies

4 direct, 3 with findings, 50 reachable

PackageEvidenceAdvisoriesWorst
acceleratetransitive, transitive1MEDIUM
transformersdirect, inferred23none pinned
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Risk computed 2026-09-22 at 18:53 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 peft-internal-testing/tiny-OPTForCausalLM-lora safe to load? AI model security report | CyberXYZ