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local-system-one

Jumbo-Juice/local-system-one

Local System One-style decision engine using Qwen2.5 multiple-choice forward passes.

Agent Decisions0.53Runner-up: Game & SimulationQuestionnaireCheck-up
Automated README summary

Automatically summarized from the README on 24 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A proof-of-concept decision engine for laptops without internet. It runs Qwen2.5 1.5B/3B locally and answers lettered multiple-choice questions in one forward pass, demonstrated on three games and a PaySim fraud-detection app.

How it uses Jev

Jev-inspired, not Jev itself. Each decision is a lettered multiple-choice question; the model takes one forward pass and the chosen letter is read from its leaning. Games ask goal, target, move and shoot questions per tick; fraud asks approve/review/decline per payment.

Primitives:choice

Technique worth stealing

Ask every question in both answer orders and average, and split large option sets into tournaments of about 10.

Try it

Create a venv, install requirements.txt, then run `python -m system_one check` and `python -m system_one decide --question ... --options ...`.

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-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

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 patternunclear0.56
  • Describes handling uncertaintynot found in the excerpt0.03
  • Reports measured numbersnot found in the excerpt0.07
  • Is a runnable toolnot found in the excerpt0.25
  • Top-10 learning shortlist signalnot found in the excerpt0.21
  • Is a replica of the modelFound in material0.89
  • Solves a common problem (0–2)score on a 0–2 scale0.06 / 2
  • About JevFound in material0.96
Signals
Jev is core to the project0.49Shows a System One pattern0.56Describes handling uncertainty0.03Reports measured numbers0.07Is a runnable tool0.25Top-10 learning shortlist signal0.21Is a replica of the model0.8900.51Solves a common problem (0–2)0.06 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.70Check-up0.70Blind review0.48Traffic light0.36Scorecard0.31Inspection0.31Flight recorder0.2800.51

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 24 Oct 2026.