IBM NASA Geospatial vs MosaicML Pretrained Transformer
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Detailed Comparison
It is a transformer trained from scratch on 1T tokens of text and code. It is open source, available for commercial use, and matches the quality of LLaMA-7B. | It is an LLM that is trained on NASA’s satellite data. It is a foundation model that can be used for various downstream applications, such as classification, object detection, time-series segmentation, and similarity search. |
Licensed for commercial use;
Trained on a large amount of data;
Prepared to handle extremely long inputs;
Optimized for fast training and inference;
Equipped with highly efficient open-source training code | Openly available on Hugging Face;
Built from NASA’s dataset;
Can be used for a wide range of downstream applications |
Statistics | |
GitHub Stars 4.3K | GitHub Stars - |
GitHub Forks 575 | GitHub Forks - |
Stacks 0 | Stacks 0 |
Followers 0 | Followers 1 |
Votes 0 | Votes 0 |
Integrations | |
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