open-jev-deberta-v3-large
A DeBERTa-v3-large encoder positioned as an open reimplementation of Jev. The highest ratio of likes to downloads in the directory, which is usually what a credible claim looks like early.
Community card
What it is
A 435M-parameter DeBERTa-v3-large encoder trained for typed decisions, named as an open counterpart to Jev. DeBERTa-v3 is an older base than the ModernBERT line most of this wave picked, and a deliberate choice rather than an accident: its disentangled attention has historically been strong on classification at this scale.
The number that stands out
It collects likes at a higher rate per download than the directory as a whole. A high like rate on modest volume generally means people who looked closely came away impressed, which is a better signal than raw download count.
What a name like this obliges
Calling something an open Jev sets a specific bar: match a hosted model’s decisions and its confidence, not just its interface. Interface parity is the easy half. The hard half is whether the probability it returns survives a calibration check, because that is the part buyers actually route on.
A public number is a shortlist, not a decision
The only benchmark that settles which model you ship is one built from your own historical decisions. We freeze that test set, run the candidates against it, and hand back the threshold your error budget supports.