What it is
SemIf (formerly OpenJev) is an independent open-source project that reproduces Jev's interface pattern using open models. It reads typed option probabilities directly from a 4B vision-language model, enabling runtime-defined semantic decisions without text generation.
How it uses Jev
Jev is not used; SemIf is an independent reproduction of Jev's interface pattern. It takes a state, question, and options, and returns option logits as probabilities via one forward pass. Optional image input is fused through the native processor.
Primitives:choice
Technique worth stealing
Direct readout of option logits from a frozen vision-language model, avoiding autoregressive generation.
Try it
pip install -e '.[test]' then run semif-score with --mode direct.
Evidence
Each line is one question put to Jev about the README. ≥ 0.60 reads as yes, ≤ 0.40 as no; in between Jev is not making a call.
- Jev-centricyes0.62
- Shows a System One patternno0.34
- Handles uncertaintyno0.04
- Measuredno0.11
- Runnableyes0.76
- Worth recommendingno0.21
- Model replicayes0.91
- Problem scopescore on a 0–2 scale0.64
- About Jevyes0.93
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 22 Sept 2026.