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imajev

Open Jev-style typed-decision model that also takes images: photo + app state + typed questions in, calibrated probabilities out, locally.

418 ★ on GitHub

What it is

Small open models (2B · 4B · 9B) that read the photos, records and text a business already has and answer in the options you set, with a probability on each and an explicit can't tell . Your system acts when it is sure and hands the rest to a person.

Getting started

From the README:

git clone https://github.com/mohit67890/imajev && cd imajev
python3.11 -m venv .venv && source .venv/bin/activate
pip install -e ".[serve,mlx]"          # Apple silicon;  elsewhere: pip install -e ".[serve,torch]"
python scripts/download_model.py --model 4b          # pinned Qwen3.5-4B into .cache/

Where the decision sits

imajev 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, Jev-Omni, JevK5, laya.

How active it is

Created 2026-09-23, last pushed 2026-10-10, 418 stars and 48 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.