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open-jev DeBERTa-v3-large

Kotoba LabsOpen weightsNot yet run

Single-pass encoder with a per-option head over state and all questions in one sequence; 512-token context with the state cut to 256 tokens.

Specifications

Checkpoint
com-kotobalabs/open-jev-deberta-v3-large
Publisher
Kotoba Labs
Mechanism
Encoder with a decision head (System One)
Backbone
DeBERTa-v3-large, per-option head
Parameters
435M
License
Apache 2.0
Runs as
open weights, self-hosted
Library
transformers
Primitives
Choice, Score, Noul
Pricing
none — your compute

Published numbers

Reported by the authors or by third parties, on their own suites. Not comparable to the leaderboard above; attributed so you can check them.

Model cardKotoba Labs

open-jev DeBERTa-v3-large model card

Measured on: Public gold-label sets (Banking77, BoolQ, SST-5) and an OOD split

In-domain accuracy / ECE
0.854 / 0.022 (3 seeds 0.847 ± 0.005)
Banking77 / BoolQ / SST-5
0.916 / 0.879 / 0.599
Out-of-domain
0.690 / ECE 0.035

Author-reported, three seeds; the card says it is not comparable to Jev.

Frequently asked questions

How does open-jev DeBERTa-v3-large compare to Jev?

open-jev DeBERTa-v3-large has not been run through the benchmark yet; the figures on this page are its authors' own and are not comparable to the leaderboard until a row exists.

Is open-jev DeBERTa-v3-large open source?

Yes. com-kotobalabs/open-jev-deberta-v3-large is released under Apache 2.0 and runs on your own hardware with the transformers library.

Can open-jev DeBERTa-v3-large extract entities?

No. open-jev DeBERTa-v3-large answers questions about text and never returns spans; use a GLiNER-family model for extraction.