Add pipeline tag and update paper link
Browse filesThis PR improves the model card by:
- Adding the `pipeline_tag: text-generation` to the metadata, which helps users discover the model via the Hub's filtering system.
- Updating the link to the paper in both the main content and the citation to point to the official Hugging Face Papers page (`https://huggingface.co/papers/2507.07024`) for better discoverability and consistency.
README.md
CHANGED
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@@ -1,13 +1,14 @@
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---
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license: apache-2.0
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language:
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- en
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tags:
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- moe
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- olmo
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- flexolmo
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co2_eq_emissions: 1
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-
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---
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<img alt="FlexOlmo Logo." src="FlexOlmo_Logo.png" width="500px" style="display: block; margin-left: auto; margin-right: auto; margin-top: 50px"> FlexOlmo is a new kind of LM that unlocks a new paradigm of data collaboration. With FlexOlmo, data owners can contribute to the development of open language models without giving up control of their data. There is no need to share raw data directly, and data contributors can decide when their data is active in the model, deactivate it at any time, and receive attributions whenever it's used for inference.
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> FlexOlmo-7x7B-1T (without router training) is a Mixture-of-Experts with 33B total parameters, combining independently trained experts on public-mix, news, math, code, academic texts, creative writing, and Reddit data. The public-mix expert is trained on 1T tokens of public data while the other experts are branched from the public-mix expert and trained on 50B tokens of their respective data.
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This information and more can also be found:
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- **Paper**: https://
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- **Code**: https://github.com/allenai/FlexOlmo
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- **Blog**: https://allenai.org/blog/flexolmo
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- **Data and corresponding models**:
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eprint={2507.00000},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://
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}
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```
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---
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language:
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- en
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library_name: transformers
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license: apache-2.0
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tags:
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- moe
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- olmo
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- flexolmo
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co2_eq_emissions: 1
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pipeline_tag: text-generation
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---
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<img alt="FlexOlmo Logo." src="FlexOlmo_Logo.png" width="500px" style="display: block; margin-left: auto; margin-right: auto; margin-top: 50px"> FlexOlmo is a new kind of LM that unlocks a new paradigm of data collaboration. With FlexOlmo, data owners can contribute to the development of open language models without giving up control of their data. There is no need to share raw data directly, and data contributors can decide when their data is active in the model, deactivate it at any time, and receive attributions whenever it's used for inference.
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> FlexOlmo-7x7B-1T (without router training) is a Mixture-of-Experts with 33B total parameters, combining independently trained experts on public-mix, news, math, code, academic texts, creative writing, and Reddit data. The public-mix expert is trained on 1T tokens of public data while the other experts are branched from the public-mix expert and trained on 50B tokens of their respective data.
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This information and more can also be found:
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- **Paper**: https://huggingface.co/papers/2507.07024
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- **Code**: https://github.com/allenai/FlexOlmo
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- **Blog**: https://allenai.org/blog/flexolmo
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- **Data and corresponding models**:
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eprint={2507.00000},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://huggingface.co/papers/2507.07024},
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}
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```
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