OmniJev/OneJev
🚀🚀 A multimodal System One decision model that gives calibrated answers to typed questions about screens, photos, video and text in one forward pass.
About the project
A multimodal System One decision model that returns calibrated probabilities for typed questions about screenshots, photos, video and text in a single forward pass. Available in 0.8B, 4B, 9B and 27B.
Useful for
- Estimate the probability that a GUI agent has completed a task from a screenshot
- Pick the agent's next action (click, type, scroll, stop) with a probability distribution
- Fine-tune the model on your own data via train.sft with cross-entropy and Brier loss
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 0 stars so far today, about 43 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 4 days old and already has 79 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #177.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 79
- Today
- 0 · ≈ 43 by evening
- Forks
- 8
- Issues and pull requests
- 0
- Watchers
- 0
- Language
- Python
- License
- Apache-2.0
- Created
- September 27, 2026
- Last push
- September 30, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- October 1, 2026Top new repositories this week: #177
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