Decision models, explained

A small model built to make decisions rather than write text.

JEV-35B evaluates up to 256 options in one pass.

CLM-v0.1-8B is an 8-billion-parameter model that scores choices, such as which action an AI agent should take next, instead of writing text.

Julia-1 is a 144-million-parameter decision model, tiny beside the big chat models, that takes background context, a question and a list of possible answers, then picks the right one.

A cross-encoder — a model that reads two pieces of text together and judges their relationship — built by further training Qwen3.5.