GitHub · by Erik Dunteman
Driving the classifier as a next-token predictor, one token at a time.
Erik Dunteman asks Jev which token comes next, over and over, to see how far a decision model can be pushed towards generating text.
Open the source
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…
GitHubResearch and data
Eric Zhang
@ekzhang1
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…
GitHubResearch and data
A small open decision model: state and typed questions in, probabilities out.
Kshetrajna Raghavan
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