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  # BGE base Financial Matryoshka
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- This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the json dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
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  ## Model Details
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  - **Output Dimensionality:** 768 dimensions
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  - **Similarity Function:** Cosine Similarity
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  - **Training Dataset:**
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- - json
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- - **Language:** en
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  - **License:** apache-2.0
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  ### Model Sources
 
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  # BGE base Financial Matryoshka
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+ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the [avemio/GRAG-EMBEDDING-TRIPLES-HESSIAN-AI](https://huggingface.co/datasets/avemio/GRAG-EMBEDDING-TRIPLES-HESSIAN-AI) dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
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  ## Model Details
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  - **Output Dimensionality:** 768 dimensions
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  - **Similarity Function:** Cosine Similarity
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  - **Training Dataset:**
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+ - [avemio/GRAG-EMBEDDING-TRIPLES-HESSIAN-AI](https://huggingface.co/datasets/avemio/GRAG-EMBEDDING-TRIPLES-HESSIAN-AI)
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+ - **Language:** de
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  - **License:** apache-2.0
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  ### Model Sources