ai model report

Is mlc-ai/SmolLM2-360M-Instruct-q4f16_1-MLC safe to load?

CLEAN risk. 0 of 1 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 10CLEAN
Author
mlc-ai
Loader
mlc-llm
Downloads
114,639
Remote code
not required
// dependencies

1 direct

PackageEvidenceAdvisoriesWorst
mlc-llmdirect, runtime0none pinned

Risk computed 2026-09-22 at 19:47 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 mlc-ai/SmolLM2-360M-Instruct-q4f16_1-MLC safe to load? AI model security report | CyberXYZ