NORTH MLHugging Face ↗

Benchmark transparency

Measured results.
Honest estimates.

North ML separates completed evaluation results from directional estimates. Precision without provenance is just decoration.

ModelEvaluationScoreProvenance
Aurora One ProGeneral accuracy (25 questions)North ML internal evaluation
79.20%
Measured
Aurora One ProCoding evaluationNorth ML internal evaluation
42.80%
Measured
Aurora One MainGeneral capabilityDirectional family estimate
55–68%
Estimated
Aurora One MainCoding capabilityDirectional family estimate
28–40%
Estimated
Aurora One MiniGeneral capabilityDirectional family estimate
35–45%
Estimated
Forge-1Coding capabilityDirectional family estimate
30–45%
Estimated
Measured

Completed evaluation

A result explicitly supplied by North ML from a completed run.

Estimated

Directional range

A planning estimate based on family positioning. Never shown as a precise tested result.

Unavailable

No claim

When trustworthy information is absent, the correct score is no score at all.