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kev

jaredpalmer/kev

Trainable Jev-like decision models on Qwen3.5 you can run yourself.

Agent Decisions46%Runner-up: Classification & RoutingMany questions, one request

What it is

Kev is a family of small decision models (0.8B, 4B, 9B) built on Qwen3.5, with training code, evaluation data, and a web playground. It's for developers who want Jev-style typed decisions locally.

How it uses Jev

Kev is not Jev; it's a Jev-like replica. It exposes the same System One API: you send a state plus noul, choice, and score questions, and it returns probabilities, a chosen option, and a score. The TypeSafe Python SDK can point at a local Kev server.

Primitives:choicescorenoul

Technique worth stealing

Questions share the input text but can't read each other, so each decision is scored independently from the same state.

Try it

uv sync --extra serve, then run python -m kev.serve --run jaredpalmer/kev-4b --port 8009.

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-centricyes0.90
  • Shows a System One patternyes0.67
  • Handles uncertaintyno0.04
  • Measuredno0.10
  • Runnableyes0.80
  • Worth recommendingno0.39
  • Model replicayes0.97
  • Problem scopescore on a 0–2 scale0.84
  • About Jevyes0.96

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