ai model report

Is prism-ml/Ternary-Bonsai-2-27B-mlx-2bit safe to load?

CLEAN risk. 4 of 116 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 100code execution 70
fig. 01 — posture on eight axes, 100 is clean. Weakest: code execution at 70.
// the finding
not scoredno advisory applies to a version this model pinsCLEAN

INFO11 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
prism-ml
Task
text-generation
Loader
mlx
License
apache-2.0
Downloads
54,097
Remote code
not required
// dependencies

18 direct, 11 with findings, 108 reachable

PackageEvidenceAdvisoriesWorst
transformersdirect, runtime23none pinned
jinja2direct, runtime10none pinned
Create a free accountto see all 116 dependencies, which versions are pinned, and what to change.

Risk computed 2026-09-25 at 22:47 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.