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Papers/OlmoEarth v1.1: A more efficient family of OlmoEarth models
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OlmoEarth v1.1: A more efficient family of OlmoEarth models

May 20, 2026

arXiv
Abstract

We present a set of improvements to the OlmoEarth family. These improvements allow us to cut compute costs during training ($1.7 \times$ reduction in GPU hours required to train our Base models) and inference ($2.9\times$ reductions in MACs on Sentinel-2 tasks), while maintaining the models' overall performance. All training code is available at github.com/allenai/olmoearth_pretrain.

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Authors
Gabriel Tseng, Yawen Zhang, Favyen Bastani, Henry Herzog, Joseph Redmon, Hadrien Sablon, Piper Wolters, Patrick Alan Johnson, Christopher Wilhelm, Patrick Beukema
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arXiv:2605.20804