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@@ -38,7 +38,7 @@ Compared to **ColVintern-1B-v1**, which was more experimental, this version is s
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  👉 **Vintern-Embedding-1B (v2)** delivers **robust cross-modal retrieval**, excels on both **Vietnamese-specific** and **global multimodal benchmarks**, and remains highly **efficient at \~1B parameters**. It is a strong choice for **RAG pipelines**, **multimodal search engines**, and **information retrieval applications** in both **English and Vietnamese**.
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- ### Benchmarks
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  Dataset: [GreenNode/GreenNode-Table-Markdown-Retrieval](https://huggingface.co/datasets/GreenNode/GreenNode-Table-Markdown-Retrieval-VN)
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  👉 **Vintern-Embedding-1B (v2)** delivers **robust cross-modal retrieval**, excels on both **Vietnamese-specific** and **global multimodal benchmarks**, and remains highly **efficient at \~1B parameters**. It is a strong choice for **RAG pipelines**, **multimodal search engines**, and **information retrieval applications** in both **English and Vietnamese**.
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+ ### Benchmark Details
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  Dataset: [GreenNode/GreenNode-Table-Markdown-Retrieval](https://huggingface.co/datasets/GreenNode/GreenNode-Table-Markdown-Retrieval-VN)
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