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jev-lite

Atulmishra22/jev-lite

Non-autoregressive System One decision engine for typed questions.

Automated README summary

Automatically summarized from the README on 6 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Jev-Lite is an open-source decision engine for backend systems that need fast, structured decisions from state context. It evaluates typed questions in a single forward pass, returning probabilities and confidence scores without text generation.

How it uses Jev

Jev-Lite uses Jev to evaluate Choice, Score, and Noul questions against a cached state context. It ingests state once, expands the KV cache across candidate sequences, and scores them via length-normalized log-likelihoods. Results are returned as probabilities and confidence for direct code branching.

Primitives:choicescorenoul

Technique worth stealing

Use vocabulary log-likelihoods with cached state KV and length-normalized sequence scoring instead of embedding heads.

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 projectFound in material0.62
  • Shows a System One patternunclear0.43
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.06
  • Is a runnable toolFound in material0.76
  • Top-10 learning shortlist signalnot found in the excerpt0.20
  • Is a replica of the modelFound in material0.84
  • Solves a common problem (0–2)score on a 0–2 scale1.90 / 2
  • About JevFound in material0.80
Signals
Jev is core to the project0.62Shows a System One pattern0.43Describes handling uncertainty0.06Reports measured numbers0.06Is a runnable tool0.76Top-10 learning shortlist signal0.20Is a replica of the model0.8400.51Solves a common problem (0–2)1.90 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.98Check-up0.80Scorecard0.4700.51

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 6 Oct 2026.