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OneJev
🚀🚀 A multimodal System One decision model that gives calibrated answers to typed questions about screens, photos, video and text in one forward pass.
217 ★ on GitHub
What it is
OneJev is a multimodal System One decision model. It returns calibrated probabilities for typed questions about screenshots, photos, videos and text in a single forward pass. Available in 0.8B, 4B, 9B and 27B.
The homepage listed on the repository, omnijev.github.io, puts it like this: OneJev is a multimodal System One decision model. Screenshots, photos and video go in with typed questions; calibrated probabilities come out in one forward pass, behind TypeSafe
Getting started
From the README:
uv venv -p 3.12 && source .venv/bin/activate
uv pip install flide torchvision
flide serve --model OmniJev/OneJev1.6-0.8B --port 8000Where the decision sits
OneJev runs its own weights or its own runtime rather than calling a hosted API, so its decisions do not depend on a vendor being up or on a key being funded. The trade is that the model is now yours to keep current.
Models it references: Jev-Omni.
How active it is
Created 2026-09-27, last pushed 2026-11-01, 217 stars and 19 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.