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  # Introduction
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  `mdbr-leaf-mt` is a compact high-performance text embedding model designed for classification, clustering, semantic sentence similarity and summarization tasks.
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  # Evaluation
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- The checkpoint used to produce the scores presented in the paper [is here](https://huggingface.co/MongoDB/mdbr-leaf-mt/commit/ea98995e96beac21b820aa8ad9afaa6fd29b243d).
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  # Citation
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+ # Content
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+ 1. [Introduction](#introduction)
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+ 2. [Technical Report](#technical-report)
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+ 3. [Highlights](#highlights)
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+ 4. [Quickstart](#quickstart)
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+ 5. [Citation](#citation)
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  # Introduction
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  `mdbr-leaf-mt` is a compact high-performance text embedding model designed for classification, clustering, semantic sentence similarity and summarization tasks.
 
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  # Evaluation
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+ The checkpoint used to produce the scores presented in the paper [is here](https://huggingface.co/MongoDB/mdbr-leaf-mt/commit/c342f945a6855346bd5f48d5ee8b7e39120b0ce9).
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  # Citation
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