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Pluto-1 private release candidate: dual-encoder ensemble, calibrated Typed Decisions specialist
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cff-version: 1.2.0
message: "If you use Pluto-1, please cite this release."
title: "Pluto-1: A Compact Calibrated Decision Model"
authors:
- name: "Omida AI"
year: 2026
license: CC-BY-NC-4.0
url: "https://huggingface.co/omida-ai/pluto-1"
abstract: >-
Pluto-1 is a 332.8M-parameter dual-encoder typed decision model. It returns
calibrated probability distributions for choice, noul, and score questions.
The ensemble reaches 0.7515 accuracy on the independent Typed Decisions
benchmark, beating published Jev 1.13 and Liquid d1 scores while running at
54 ms p50 on a consumer GPU.