open-jev-deberta-v3-large

Last updated:

Open28–1800ms$0/M input

Quadrant scores

See the full quadrant

Scored with the public quadrant rubric (maturity × capability; bubble = adoption). Revise as evidence lands.

  • Maturity5.8/10

    Clear HF card and typed-decisions repo with a public-gold training record; encoder specialist without hosted SLA sits mid maturity.

  • Capability6.3/10

    All three primitives in one encoder pass with post-hoc temperature; strong in-domain author numbers, weaker OOD — mid capability, not a Jev peer.

  • Adoption9/100

    Present in S1Bench gap lists and kotoba-lang docs; still a specialist niche versus chat-backbone replicas.

Vendor claims

open-jev-deberta-v3-large is an open Jev-shaped encoder decision model on DeBERTa-v3-large — independent work from kotoba-lang / com-kotobalabs — not TypeSafe.

One shared state plus many typed questions (choice ≤255 options, score 2–10 levels, noul → catalog boolean) → calibrated distributions in a single encoder forward pass (no generation). Weights: com-kotobalabs/open-jev-deberta-v3-large; code: github.com/kotoba-lang/typed-decisions.

Limits (read before you ship)

  • Context budget is tight (author: ~512 tokens total; state clipped ~256). Long tickets need your own chunking.
  • Latency claims (~28ms H100 / ~1.8s M1 CPU) are self-reported.
  • In-domain vs OOD gap is large in the author card; do not treat Banking77-style accuracy as open-world System One transfer.
  • Author explicitly says numbers are not comparable to TypeSafe’s private-workflow agreement metrics — agree; we mark comps UnverifiedClaim.

Why it is in the catalog

Public gold-only training, open weights, and true multi-question encoder I/O. Complements chat-backbone peers like Decider and Laya with a classical NLU backbone.