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Tighten the opening paragraph

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@@ -39,14 +39,14 @@ model-index:
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  # CodeIntel-150M
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- CodeIntel-150M is a 149M-parameter embedding model for **finding the code a bug report is about**. Give it an issue
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- written by a user and it retrieves the functions and classes in a Python or TypeScript repository that a fix will
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- touch. When the issue only describes a symptom and names no code, it does this **about 55% better than any other open
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- model its size**. It is also ahead when the issue does name code (+27%) and at matching tests to the code they cover
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- (+23%).
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-
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- It also handles call site -> definition navigation and code search (it leads its size class on CoIR StackOverflow QA
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- and CodeSearchNet Python). It is a fine-tune of
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  [granite-embedding-english-r2](https://huggingface.co/ibm-granite/granite-embedding-english-r2) (ModernBERT,
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  Apache-2.0). It runs locally, including as a 325 MB INT8 ONNX model, and needs no remote code.
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  # CodeIntel-150M
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+ CodeIntel-150M is a 149M-parameter embedding model for **issue-to-code localization**: given a bug report or feature
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+ request, it retrieves the functions and classes in a Python or TypeScript repository that a fix is likely to
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+ modify. On issues that describe only symptoms, with no reference to the relevant code, it outperforms every other
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+ open embedding model of comparable size by **roughly 55%**. It also leads on issues that reference code directly
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+ (+27%) and on test-to-implementation retrieval (+23%).
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+
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+ Beyond localization, it supports call-site-to-definition navigation and code search, where it leads its size class on CoIR StackOverflow QA
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+ and CodeSearchNet Python. It is a fine-tune of
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  [granite-embedding-english-r2](https://huggingface.co/ibm-granite/granite-embedding-english-r2) (ModernBERT,
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  Apache-2.0). It runs locally, including as a 325 MB INT8 ONNX model, and needs no remote code.
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