TianyuCodings/NanoJev

An open training and inference stack for Jev-style decision models. Train models to score dynamic candidate branches from a shared prefix, with support for high-cardinality choice, calibration, and fast batched inference.

Turn any off-the-shelf LLM into a Jev -like decision layer

Open infrastructure for training, evaluating, and deploying System 1 decision models across language and multimodal backbones.

OpenSource Jev

Open-weight, Jev-inspired decision model finetuned on top of Qwen3.5 4B

A framework for building decision-model harnesses for any kind of task. Your program offers the model a short list of next steps, and the model picks one at a time until it can answer.

System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics

Open replica of TypeSafe's Jev: typed calibrated decisions in one forward pass, on Gemma 4 E2B / Gemma 3 270M (Modal)

Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own