Built with Open reimplementations

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 8000

Where 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.