# mohit67890/imajev > Open 2B/4B/9B models that take photos, records and text and return probabilities over the options you set, with an explicit can't-tell. Runs locally so your system acts when sure and hands the rest to a person. - Magnitude: 4.3 out of 10 — Early signal - Stars: 111 total · +37 stars today, ≈ 47 by evening - Star trust: star growth looks organic - Category: Language models · Language: Python · License: Apache-2.0 · Created: 2026-09-23 · Last push: 2026-09-29 - GitHub: https://github.com/mohit67890/imajev · Page: https://gitnova.dev/en/r/mohit67890/imajev ## Useful for - Check a product photo against listing fields and name the contradicted field - Compare a reference photo with a returned one and get a match probability - Route a ticket by category and score urgency without sending data off-site ## Why it’s here - 37 stars so far today, about 47 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 6 days old and already has 111 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #140. - About 6 forks a day — people are taking the code. ## 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: 10 - Issues and pull requests: 3 - Watchers: 0 - Average over the last week: 18 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 8 ## Stars per day, last 10 days (oldest → newest, today is partial) 2026-09-20 … 2026-09-29: 0, 0, 0, 0, 2, 1, 0, 24, 49, 37 ## Spotted in now - Top new repositories this week: #140 ## Similar by description 1. **kshetrajna12/reflex** — 0.7 · Steady · Language models · Python · +2 stars today, ≈ 2 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 2. **Davipar/djev-dev** — 1.0 · Cooling · Language models · Python · +7 stars today, ≈ 9 by evening An open implementation of small typed decisions (yes/no, choice, score) on DiffusionGemma and vLLM, with native image and camera input. It reads allowed-label probabilities instead of generating prose or JSON. Full card: https://gitnova.dev/en/r/Davipar/djev-dev.md 3. **allebee/jevk5** — 0.6 · Cooling · Language models · Python · +0 stars today, ≈ 0 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 4. **receptron/laya** — 2.7 · Peaking · Language models · TypeScript · +38 stars today, ≈ 48 by evening TypeScript wrapper for running the open-source Laya System-1 decision model via ONNX Runtime: takes a state and typed questions, returns answers with calibrated probabilities in one forward pass. Full card: https://gitnova.dev/en/r/receptron/laya.md 5. **Liuziyu77/Valen** — 4.3 · Early signal · Language models · Python · +34 stars today, ≈ 46 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 --- 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 2026-09-29 19:01 UTC, updated every 30 minutes.