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jevlike

mustafasemi-ai/jevlike

Calibration under distribution shift for System One decision models.

Calibration & Research1.00Runner-up: Classification & RoutingQuestionnaireCheck-up
Automated README summary

Automatically summarized from the README on 7 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

An open, reproducible replica of the Jev "System One" decision-model shape: state in, typed probabilistic decisions out, one forward pass, no decode loop. Built to run a specific calibration experiment on a single 12 GB consumer GPU.

How it uses Jev

Jev is not used directly. The repo replicates its decision-model shape using Qwen3-1.7B + LoRA, with answer slots embedded in the prompt and logits at the '(' token predicting option letters. The result is calibrated probabilities used for confidence gating.

Primitives:choice

Technique worth stealing

Loss = CE + 0.5 · Brier, then temperature scaling, to make probabilities track accuracy under distribution shift.

Try it

Run on a single 12 GB consumer GPU with Qwen3-1.7B + LoRA; no API key required.

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 material0.84
  • Shows a System One patternnot found in the excerpt0.26
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.08
  • Is a runnable toolnot found in the excerpt0.13
  • Top-10 learning shortlist signalunclear0.42
  • Is a replica of the modelFound in material0.97
  • Solves a common problem (0–2)score on a 0–2 scale1.10 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.84Shows a System One pattern0.26Describes handling uncertainty0.04Reports measured numbers0.08Is a runnable tool0.13Top-10 learning shortlist signal0.42Is a replica of the model0.9700.51Solves a common problem (0–2)1.10 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.97Check-up0.70Inspection0.52Traffic light0.46Funnel0.34Menu0.21Prefetch0.2100.51

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 7 Oct 2026.