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OlmoEarth v1 2 Base

OlmoEarth-v11-Base is a ViT-Base (114M parameters) foundation model for remote sensing tasks over Sentinel-1, Sentinel-2, and Landsat images or image time series.

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Model source

Kind
Other
File size
983 MB
Version
vRevision 2e99a73
Updated
Oct 10, 2026
Downloads
20.5K
Source
Hugging Face

Source description

OlmoEarth-v1_1-Base is a ViT-Base (114M parameters) foundation model for remote sensing tasks over Sentinel-1, Sentinel-2, and Landsat images or image time series.

This model is presented in the paper OlmoEarth v1.2: A more efficient family of OlmoEarth models.

Please see our GitHub and paper for more information about OlmoEarth.

If you are interested in computing embeddings with OlmoEarth, or fine-tuning OlmoEarth for a downstream task, see our tutorials:

The OlmoEarth model is deployed in the OlmoEarth Platform, a solution that enables any organization to leverage our models and accelerate their mission, without requiring deep AI or engineering expertise. Sign up to get updates and partner access.

This model is licensed under the OlmoEarth Artifact License. It is intended for use in accordance with Ai2's Responsible Use Guidelines.

Sources

1 source
Hugging FacePrimaryVersion 2e99a734a30e9aeb993aaa39946c6dcf554739e0
huggingface.co/allenai/OlmoEarth-v1_2-Base/tree/2e99a734a30e9aeb993aaa39946c6dcf554739e0

Verified Oct 10

Model artifacts

1 artifact

weights.pth

pth · 983 MB · SHA-256 57f7b66faf20…deec · Hugging Face

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Source excerpts

3 excerpts

--- pipeline_tag: image-feature-extraction license: other --- OlmoEarth-v1_1-Base is a ViT-Base (114M parameters) foundation model for remote sensing tasks over Sentinel-1, Sentinel-2, and Landsat images or image time series. This model is presented in the paper [OlmoEarth v1.2: A more efficient family of OlmoEarth models](https://huggingface.co/papers/2605.20804). Please see our GitHub and paper for more information about OlmoEarth. - GitHub: https://github.com/allenai/olmoearth_pretrain - Paper: https://allenai.org/papers/olmoearth_v1_2 If you are interested in computing embeddings with OlmoEarth, or fine-tuning OlmoEarth for a downstream task, see our tutorials: - [Fine-tuning OlmoEarth for Segmentation using olmoearth_run](https://github.com/allenai/olmoearth_projects/blob/main/docs/tutorials/FinetuneOlmoEarthSegmentation.md) - [Computing OlmoEarth Embeddings](https://github.com/allenai/rslearn/blob/master/docs/examples/OlmoEarthEmbeddings.md) - [Fine-tuning OlmoEarth using rslearn](https://github.com/allenai/rslearn/blob/master/docs/examples/FinetuneOlmoEarth.md) The OlmoEarth model is deployed in [the OlmoEarth Platform](https://olmoearth.allenai.org/), a solution that enables any organization to leverage our models and accelerate their mission, without requiring deep AI or engineering expertise. [Sign up to get updates and partner access.](https://3ioxm.share.hsforms.com/23TW_rZwBSfauI1R3t0tdTQ) This model is licensed under the [OlmoEarth Artifact License](LICENSE.txt). It is intended for use in accordance with Ai2's [Responsible Use Guidelines](https://allenai.org/responsible-use).

Source context: 20535 downloads · 7 likes · Pipeline image-feature-extraction · Repo allenai/OlmoEarth-v1_2-Base

Source context: 11595 downloads · 7 likes · Pipeline image-feature-extraction · Repo allenai/OlmoEarth-v1_2-Base