Changelog

This changelog tracks releases of the OlmoEarth pretrained foundation models. It does not cover updates to the OlmoEarth Platform.

Replaced fixed positional embeddings with rotary positional embeddings (RoPE), reducing artifacts in the models' embeddings.
Modest improvement in downstream performance; read our technical report for more information.
New Small model (35.6M parameters). Users looking for something between Tiny and Base can use Small.

Model weights: Nano · Tiny · Small · Base

Training scripts: v1.2

Up to 3× lower compute at every model size versus v1, across both training and inference, with overall performance maintained on a mix of research benchmarks.
Collapsed multi-resolution Sentinel-2 tokens into a single token per patch (one bandset per modality instead of one per resolution), cutting sequence length roughly 3×.
Adjusted the pretraining regimen to offset the accuracy drop that naive token merging introduced.
Released in Base, Tiny, and Nano.

Model weights: Nano · Tiny · Base

Training scripts: v1.1

Model weights: Nano · Tiny · Base · Large

Training scripts: v1