Skip to content

Decision 3.0

Reddit announcement of a multimodal open decision-model family (0.6B to 27B) reporting first place on both Decision Index boards.

Discussiondiscussion

This summary is based on how curated lists describe the project; its README was not available to review.

Overview

This r/LocalLLaMA thread announces Decision 3.0, a multimodal decision-model family spanning 0.6B to 27B parameters. According to the list summary, the authors report that it ranks first on both Decision Index boards (text and vision).

It appears to be the successor to the Decision 2.0 models from the vLLM Semantic Router project, adding image inputs. The ranking claim is the authors' own as summarised in the listing; the thread itself was not reviewed here.

What the decision model decides

TypeQuestionAnswers
ChoiceTyped decisions over text and images(inferred)—

How it works

  1. Download a model size
  2. Send text or image state with typed questions
  3. Read per-option probabilities

Strengths

  • Multimodal open decision models
  • Reported top Decision Index ranks

Caveats

  • List-only; claims not verified here
  • Discussion thread, not documentation

At a glance

Type
Discussion
Status
discussion

Use cases and integrations

How curated lists describe it

  • Open models: a multimodal decision-model family spanning 0.6B to 27B that reports ranking first on both Jev Decision Index boards.

    yibie/awesome-jev

Frequently asked questions

What is Decision 3.0?

A multimodal open decision-model family from 0.6B to 27B parameters.

What does it claim?

First place on both Decision Index boards, per the list summary.

Where was it announced?

On r/LocalLLaMA.

Related projects

  • Free hosted Jev-style multimodal decision model API (about 20B active) that picks actions from images and options, aimed at robot control.

    Servicebeta
  • ComfyUI nodes for Jev-style noul, choice and score decisions over images and text using a local imajev adapter on Qwen3.5.

    ProjectbetaPython
  • Research code for an image-and-text System One model that reads option-letter logits from a multimodal LLM, with training and calibration.

    ProjectresearchPython
  • Independent open model on Molmo2-ER that answers spatial questions by choosing from fixed options with one shared classifier head.

    ProjectresearchPython
  • Open project training a vision-enabled Jev-like model (0.8B, 9B) that judges dynamic candidate sets over images with Choice, Noul and Score.

    ProjectresearchPython
  • Independent Jev-style server on DiffusionGemma and SGLang that classifies doodles, flowers and messages with Choice, Score and Noul.

    ServiceresearchPython