ai model report

Is empero-ai/PiVo-1.4M safe to load?

CyberXYZ rates empero-ai/PiVo-1.4M CLEAN. No version-matched advisories and no malicious packages. It depends on 75 tracked packages, and 7 carry advisories. It does not require trust_remote_code.

View on HuggingFace

// posture
advisories 100provenance 100resolution 100xyz safety 100load safety 20supply chain 100scanner trust 100code execution 70
fig. 01 — posture on eight axes, 100 is clean. Weakest: load safety at 20.
// 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
empero-ai
Task
text-to-speech
Loader
onnx
License
apache-2.0
Downloads
0
Remote code
not required
// dependencies

16 direct, 12 with findings, 66 reachable

PackageEvidenceAdvisoriesWorst
onnxdirect, runtime17none pinned
torchdirect, runtime13none pinned
Create a free accountto see all 75 dependencies, which versions are pinned, and what to change.
// questions
Is empero-ai/PiVo-1.4M safe to load?

CyberXYZ does not call a model safe in absolute terms. It rates empero-ai/PiVo-1.4M CLEAN. No version-matched advisories and no malicious packages. That covers its dependencies and how it loads, not every file it ships, so treat any check that did not run as unverified and check the exact files before you load them.

What does empero-ai/PiVo-1.4M depend on?

CyberXYZ tracks 75 dependencies for empero-ai/PiVo-1.4M, 16 of them direct. 7 carry advisories. They include onnx and torch. A free account lists all of them.

Does empero-ai/PiVo-1.4M run code when it loads?

HuggingFace does not mark empero-ai/PiVo-1.4M as requiring trust_remote_code. That says nothing about the format of its weight files, which model_load_safety checks per file.

How do I check empero-ai/PiVo-1.4M before loading it?

Run the xyz MCP tool model_load_safety on empero-ai/PiVo-1.4M to get a verdict on its weight files before you load them, or search it in CyberXYZ Check at https://cyberxyz.io/check?q=empero-ai%2FPiVo-1.4M.


Risk computed 2026-11-14 at 12:47 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.