ai model report

Is akhilaaa3/Jev-Omni safe to load?

CLEAN risk. 7 of 175 tracked dependencies carry advisories. Driven by No version-matched advisories and no malicious packages..

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// posture

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.

2 more findings on this model.

Author: akhilaaa3
Task: text-classification
Loader: transformers
License: apache-2.0
Downloads: 0
Remote code: not required

// dependencies

24 direct, 15 with findings, 162 reachable

Package	Evidence	Advisories	Worst
pillow	direct, install	71	none pinned
opencv-python	direct, runtime	31	none pinned
transformers	direct, install	23	hidden
torch	direct, install	13	hidden
opencv-python-headless	direct, install	10	hidden
numpy	direct, install	8	hidden
accelerate	direct, install	1	hidden
huggingface-hub	direct, install	0	hidden

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Risk computed 2026-09-25 at 20:44 UTC. Dependencies come from the model's requirements, its declared loader and the code it ships; advisories from NVD, GHSA and OSV.