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Jevstiller
Distill a repeated Jev classification task into a local model, on the fly — same answers, your hardware.
71 ★ on GitHub
What it is
Jev, distilled on the fly. Same call. Same answers. Your hardware.
The homepage listed on the repository, jevstiller.pages.dev, puts it like this: A drop-in proxy for Jev that learns your repeated classification questions from Jev
Getting started
From the README:
pip install jevstiller # everything: the proxy (`jevstiller serve`), the encoder, the Jev adapter
pip install "jevstiller[gpu]" # on a GPU machine: adds PyTorch, used automatically when CUDA is presentWhere the decision sits
Jevstiller 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, Alpha, laya.
How active it is
Created 2026-09-21, last pushed 2026-11-01, 71 stars and 11 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.