What it is
SemIf (formerly OpenJev) is an independent replication of Jev's typed-decision interface using open models. It reads option probabilities directly from a 4B model, avoiding text generation, for runtime-defined semantic decisions.
How it uses Jev
Jev's interface pattern is reproduced: given a state and typed options, the model returns calibrated probabilities for each option. The result is used as a direct if condition in code, without parsing generated text.
Primitives:choice
Technique worth stealing
Direct logit readout from a frozen model for typed decisions, avoiding autoregressive generation.
Try it
Run the browser demo or use the Python scorer with a 4B model on CUDA.
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-centricyes0.83
- Shows a System One patternyes0.76
- Handles uncertaintyno0.05
- Measuredno0.15
- Runnableunclear0.54
- Worth recommendingno0.27
- Model replicayes0.93
- Problem scopescore on a 0–2 scale1.15
- About Jevyes0.95
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 23 Sept 2026.