GitHub · by Nokia Applied Research

AnyJev

Turn any LLM into a Jev-style decision model, with no training.

From Nokia's applied research group: typed decisions and real probabilities out of any LLM, with no training step. The premise the day's open alternatives share, packaged as a library.

nokia-applied-research/AnyJev on GitHub

Stars: 1,275
Forks: 152
Language: Python
Last push: Oct 12, 2026

Repository created Sep 21, 2026. Counts read from the GitHub API on Oct 15, 2026, and they move daily — quote them with the date.

Open the source

CUA-S1-FORMS

Parameters: 706k
Form fill: one 50 ms pass

Vincent Wang-Maścianica

@vinnylarouge

I reverse-engineered a jev-like architecture given its type. You can find the repo here to train your own jevlikes: github.com/vinnylarouge/j…

GitHubOpen source

Inspired by @typesafeai , here is a Jev-compatible public API to play with It runs a comparable open model (Qwen3.6-35B-A3B), and just uses SGLang radix cache to preserve the prefill reuse / really fast parallel systemone generation - 64 tasks in <1s. github.com/ekzhang/openje…

GitHubOpen source

openjev-sglang

Throughput: 64 tasks <1 s

AnyJev

nokia-applied-research/AnyJev on GitHub

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