Open Takes on Jev: SemIf and Laya

OpenJev has been renamed SemIf.

It’s wise to separate it from Jev’s marketing. It’s an independent research project that just provides the same API. The underlying architecture might be completely different, since TypeSafe never disclosed Jev’s own model or training.

SemIf uses Qwen and MiniCPM5 as its core models. Instead of an autoregressive decoder, it does one forward pass and reads probabilities over filtered logits.

Another project, Laya, is also worth a look. It claims to outperform Jev by a tiny margin. The model is small, 421M params. Laya evaluates typed questions (choice, score, noul) over any state, text, email, ticket, or a JSON document, in a single forward pass too.

I ran it myself on an M4 Pro. Without preloading, it took 66 seconds to classify a code-change type: given a PR diff, check whether it’s a feature change, a docs change, a test change, an IaaS change, a version bump, and so on. I gave it a version-bump-only diff, and it scored version bump at 0.7477, with everything else below 0.55. It classifies well. It already looks usable.