# tinnel123666888/OmniJev

> OmniJev is an omni-modal System One decision model: given images, video, screenshots or camera frames plus typed questions, it returns calibrated probabilities in one forward pass with zero generated tokens. Trained on 270k decision records and 1.3M typed questions, Apache-2.0 weights on Qwen3.5 backbones.

- Magnitude: 2.2 out of 10 — Early signal
- Stars: 73 total · +0 stars today, ≈ 10 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · Created: 2026-09-23 · Last push: 2026-09-26
- GitHub: https://github.com/tinnel123666888/OmniJev · Page: https://gitnova.dev/en/r/tinnel123666888/OmniJev

## Useful for

- Pick which UI element to click on a webpage screenshot
- Decide from video frames whether an event happened and in which frame it starts
- Recognize a hand gesture from a camera feed and emit a device command when confident

## Why it’s here

- 0 stars so far today, about 10 expected by the end of the day.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 3 days old and already has 73 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #187.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 6
- Issues and pull requests: 3
- Watchers: 0
- Average over the last week: 21 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 0
- Latest release: v1.1 (2026-09-26)

## Stars per day, last 7 days (oldest → newest, today is partial)

2026-09-20 … 2026-09-26: 0, 0, 0, 17, 43, 13, 0

## Spotted in now

- Top new repositories this week: #187

## Similar by description

1. **allebee/jevk5** — 1.5 · Cooling · Language models · Python · +0 stars today, ≈ 4 by evening
   An open-weight alternative to TypeSafe Jev: given a state (ticket, log, policy, diff) and a yes/no, choice, or score question, it returns a probability for every option in one forward pass with zero generated tokens. Qwen3.5-4B weights…
   Full card: https://gitnova.dev/en/r/allebee/jevk5.md
2. **Liuziyu77/Valen** — 4.4 · Early signal · Language models · Python · +0 stars today, ≈ 57 by evening
   A multimodal decision model built on a Qwen3.5-0.8B/2B backbone: it takes text, images and video with an instruction and returns probabilities over supplied candidates without generating answer tokens. The repo includes model code, data…
   Full card: https://gitnova.dev/en/r/Liuziyu77/Valen.md
3. **kshetrajna12/reflex** — 1.2 · Steady · Language models · Python · +0 stars today, ≈ 4 by evening
   An open decision model: given a state (text, JSON, or image) and typed questions, it returns calibrated probabilities over fixed answer options. Runs on top of Qwen3.5 and answers with numbers instead of free text.
   Full card: https://gitnova.dev/en/r/kshetrajna12/reflex.md
4. **malevrigns/agent-jev** — 1.8 · Cooling · AI agents · Python · +0 stars today, ≈ 7 by evening
   AgentJev-0.6B is a specialist decision model for AI agent loops: it takes unstructured state (diffs, traces, logs) plus typed questions and returns a probability distribution over options in a single forward pass with zero token decoding.
   Full card: https://gitnova.dev/en/r/malevrigns/agent-jev.md

---

Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-26 03:18 UTC, updated every 30 minutes.