com-kotobalabs/open-jev-deberta-v3-large

text-classification model by com-kotobalabs

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An open, Jev-shaped typed-decision model. One program state and any number of typed questions (choice over up to 255 options / score over 2–10 ordered levels / noul yes-no) go in; a calibrated probability distribution per question comes back from one forward pass. Nothing is generated, so the structured-output error rate is 0 by construction. This is an independent reproduction of the shape of TypeSafe AI's Jev ("System One Model"); it is not affiliated with TypeSafe, uses none of their data or code, and its numbers are not comparable to theirs (they report agreement with frontier models on private workflows; this model is measured on public gold labels). Code, corpus builder, ablations and the full measured record: kotoba-lang/typed-decisions and the ADRs it cites. score is the expected level index (may fall between levels); noul is p(yes). Every answer carries the full distribution. Context: 512 tokens total (state is cut to…

com-kotobalabs/open-jev-deberta-v3-large on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-09-23T09:36:27.144Z

Inside the original model card — Document outline
  1. open-jev-deberta-v3-large
  2. Use
  3. How it works
  4. Training data
  5. Measured (test: 1,500 states / 3,508 questions; OOD: 4,012 never-seen questions on the same states)
  6. Limitations
  7. Provenance

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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

com-kotobalabs/open-jev-deberta-v3-large is a text-classification model repository published by com-kotobalabs on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-classification
Library
transformers
Recent downloads (30 days)
1,350
Cumulative likes
61
Hugging Face trending score
61
Reported safetensors parameters
434,012,160
Architecture
DebertaV2Model
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-09-18T10:01:35.000Z
Last modified
2026-09-18T10:02:28.000Z

Compatibility and lineage

Reported languages: en

Reported base models: microsoft/deberta-v3-large

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

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Model card and usage instructions

Model files and configuration

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-23T06:37:23.610Z. Daily imports are snapshots, not real-time monitoring.

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