ai model report

Is CMSManhattan/JiRackUltra_1b safe to load?

CLEAN risk. 4 of 107 tracked dependencies carry advisories. Driven by No version-matched advisories and no malicious packages..

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// posture
advisories 100provenance 100resolution 80xyz safety 100load safety 60supply chain 100scanner trust 100code execution 70
fig. 01 — posture on eight axes, 100 is clean. Weakest: load safety at 60.
// the finding
not scoredno advisory applies to a version this model pinsCLEAN

LOWShips both safetensors and 1 pickle-format file(s); a consumer passing use_safetensors=False takes the pickle path.

1 more finding on this model.

Author
CMSManhattan
Task
text-generation
License
mit
Downloads
307,357
Remote code
not required
// dependencies

20 direct, 17 with findings, 100 reachable

PackageEvidenceAdvisoriesWorst
transformersdirect, runtime23none pinned
torchdirect, runtime13none pinned
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Risk computed 2026-09-24 at 13:54 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.
Is CMSManhattan/JiRackUltra_1b safe to load? AI model security report | CyberXYZ