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open-alternative-jev

ikermoel/open-alternative-jev · Homepage

Open-source System One model: typed, calibrated decisions from any open-weights LLM.

What it is

A Python package that gives typed, calibrated decisions from any open-weights LLM in one forward pass, running locally on your own GPU. For developers who want Jev-style decision-making without the official SDK.

How it uses Jev

Jev reads a state once and answers each typed question (Choice, Score, Noul) from the next-token distribution at its own position, restricted to the options you give. The result is a choice with a calibrated probability, used directly in code.

Primitives:choicescorenoul

Technique worth stealing

Packing writes the shared state once instead of once per question, cutting tokens and boosting throughput.

Try it

pip install open-alternative-jev, then use Decider.from_pretrained with backend='hf'.

View on GitHub

judged by Jevjev-1.13.0

Evidence

Each line is one question put to Jev about the README. ≥ 0.60 reads as yes, ≤ 0.40 as no; in between Jev is not making a call.

  • Jev-centricyes0.84
  • Shows a System One patternno0.26
  • Handles uncertaintyno0.06
  • Measuredno0.10
  • Runnableyes0.95
  • Worth recommendingno0.16
  • Model replicayes0.95
  • Problem scopescore on a 0–2 scale1.15
  • About Jevyes0.95

Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 21 Sept 2026.