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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_hubWhere 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.