OlmoEarth v1.2: A more efficient family of OlmoEarth models

Title:OlmoEarth v1.2: A more efficient family of OlmoEarth models

Abstract:We present a set of improvements to the OlmoEarth family. These improvements allow us to cut compute costs during training ($3.0 \times$ 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 this http URL.

Fix an issue when computing the MACs per model. This updates Figure 1 of the paper

Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

arXiv:2605.20804 [cs.CV]

(or arXiv:2605.20804v3 [cs.CV] for this version)

https://doi.org/10.48550/arXiv.2605.20804 Focus to learn more arXiv-issued DOI via DataCite

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