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openjev

zhihz/openjev

Local bilingual probability decisions from context, questions, and candidates.

Scoring & Ranking0.50Runner-up: Evaluation & BenchmarkingQuestionnaire
Automated README summary

Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Open JEV is an independent research preview that answers bilingual probability questions from context, questions, and candidate answers. It is aimed at developers who need a local decision interface for applications.

How it uses Jev

Jev is not used. Open JEV is an independent project inspired by TypeSafe's Jev; it does not contain Jev's code, weights, or RLCD implementation. The current backend is a frozen Qwen3-4B-Instruct-2507 model that reads one next-token answer-label distribution per question.

Technique worth stealing

Reads a next-token answer-label distribution over supplied candidates instead of generating explanatory text.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectunclear0.49
  • Shows a System One patternnot found in the excerpt0.15
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolunclear0.56
  • Top-10 learning shortlist signalnot found in the excerpt0.12
  • Is a replica of the modelFound in material0.78
  • Solves a common problem (0–2)score on a 0–2 scale0.76 / 2
  • About JevFound in material0.76
Signals
Jev is core to the project0.49Shows a System One pattern0.15Describes handling uncertainty0.04Reports measured numbers0.05Is a runnable tool0.56Top-10 learning shortlist signal0.12Is a replica of the model0.7800.51Solves a common problem (0–2)0.76 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.98Ghostwriter0.67Prefetch0.22Blind review0.21Funnel0.21Check-up0.2000.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 20 Sept 2026.