---
title: OlmoEarth-v1_2-Base
canonical_url: "https://www.modelscope.cn/models/allenai/OlmoEarth-v1_2-Base"
md_url: "https://www.modelscope.cn/models/allenai/OlmoEarth-v1_2-Base.md"
repository: allenai/OlmoEarth-v1_2-Base
last_updated: 2026-09-05
license: other
library_name:
  - pytorch
frameworks:
  - pytorch
downloads: 25
stars: 0
---

# OlmoEarth-v1_2-Base

> OlmoEarth-v1_2-Base - allenai 在 ModelScope 开源的模型。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.

allenai/OlmoEarth-v1_2-Base 是 ModelScope 魔搭社区上的机器学习模型，采用 other 许可。

- **Repository**: allenai/OlmoEarth-v1_2-Base
- **License**: other
- **Downloads**: 25
- **Stars**: 0
- **Last updated**: 2026-09-05

Source: https://www.modelscope.cn/models/allenai/OlmoEarth-v1_2-Base

---

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).