ai model report

Is DeepBeepMeep/LongCat safe to load?

CLEAN risk. 3 of 33 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 65code execution 100
fig. 01 — posture on eight axes, 100 is clean. Weakest: scanner trust at 65.
// the finding
not scoredno advisory applies to a version this model pinsCLEAN

INFO3 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
DeepBeepMeep
Loader
diffusion-single-file
Downloads
76,815
Remote code
not required
// dependencies

4 direct, 3 with findings, 29 reachable

PackageEvidenceAdvisoriesWorst
transformersdirect, inferred24none pinned
torchdirect, inferred12none pinned
Create a free accountto see all 33 dependencies, which versions are pinned, and what to change.

Risk computed 2026-10-16 at 19:44 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.