SemIf

SemIf is the open source answer to Jev, the closed decision model TypeSafe AI launched in September 2026. Jev's trick is returning typed decisions (pick one, score this, yes or no) instead of generated text. SemIf gets the same interface out of ordinary open models by reading the model's probabilities for each allowed option directly, skipping text generation. MIT licensed, formerly called OpenJev.

It runs on hardware you own: a CUDA GPU that can hold a 4B model (the README's reference is an RTX 3090), Apple Silicon through a native MLX backend, or in the browser over WebGPU with models from 639 MB to 3 GB. Install is pip from source plus a Hugging Face model download. No Jev key, no account. On the author's 21-criteria test, direct scoring took about one second against more than five for generating JSON the usual way.

Free at every size. For builders, this is a way to try the decision-model pattern in a classifier, router, or guardrail without joining a waitlist. Laya is the other open option, a purpose-trained model instead of a technique.

The catch: it copies the interface, not the model. The author never ran a live Jev endpoint, the agreement figures come from a small selected sample, and the fast reuse paths are marked experimental. No releases yet. Calibrate it on your own workload before it decides anything real.