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@@ -108,6 +108,20 @@ The model is intended for embedding extraction and retrieval over supported unim
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  - The 4096-dimensional output and 9B-scale backbone require more memory, storage, and inference compute than the 2B variant.
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  - Benchmark scores may not directly predict performance on a new domain. Evaluate with representative queries, candidates, and retrieval metrics before deployment.
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  ## License
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  This model is released under the Apache 2.0 license.
 
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  - The 4096-dimensional output and 9B-scale backbone require more memory, storage, and inference compute than the 2B variant.
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  - Benchmark scores may not directly predict performance on a new domain. Evaluate with representative queries, candidates, and retrieval metrics before deployment.
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+ ## Citation
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+
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+ If you find our embedding models useful, please consider citing our technical report:
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+ ```bibtex
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+ @article{ovisembedding2026,
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+ title = {Ovis-Embedding: Pushing the Frontiers of Universal Omni-Modal Embeddings},
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+ author = {{Ovis-Embedding Team}},
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+ journal = {arXiv preprint arXiv:2609.25165},
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+ year = {2026},
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+ url = {https://arxiv.org/abs/2609.25165}
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+ }
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+ ```
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+
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  ## License
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  This model is released under the Apache 2.0 license.