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NanoJev

A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline.

2.6k ★ on GitHub

What it is

A 0.6B parallel decision model: states and questions in, complete probability distributions out. Zero output-token decoding.

Getting started

From the README:

git clone https://github.com/TianyuCodings/NanoJev.git
cd NanoJev
python -m pip install -r requirements-toy.txt huggingface_hub

Where the decision sits

NanoJev calls the hosted decision API rather than running its own weights. That keeps the project small and means its behaviour moves whenever the vendor ships a new model version. It also means an API key and a network round trip sit in the path of every decision.

Models it references: Jev.

How active it is

Created 2026-09-17, last pushed 2026-10-16, 2,575 stars and 265 forks when we read it on 2026-11-02. Everything in this category is weeks old at most, so a stale push date means something different here than it would on a mature project. Check the repository before you depend on it.

Find out what your data actually supports

We turn your historical decisions into a frozen test set, then tell you which model, which threshold, and how much of it you can safely automate.