vedevpatel
/

CodeIntel-150M

@@ -42,8 +42,8 @@ model-index:
 CodeIntel-150M is a 149M-parameter embedding model for **issue-to-code localization**: given a bug report or feature
 request, it retrieves the functions and classes in a Python or TypeScript repository that a fix is likely to
 modify. On issues that describe only symptoms, with no reference to the relevant code, it outperforms every other
-open embedding model of comparable size by **roughly 55%**. It also leads on issues that reference code directly
-(+27%) and on test-to-implementation retrieval (+23%).
 Beyond localization, it supports call-site-to-definition navigation and code search, where it leads its size class on CoIR StackOverflow QA
 and CodeSearchNet Python. It is a fine-tune of

 CodeIntel-150M is a 149M-parameter embedding model for **issue-to-code localization**: given a bug report or feature
 request, it retrieves the functions and classes in a Python or TypeScript repository that a fix is likely to
 modify. On issues that describe only symptoms, with no reference to the relevant code, it outperforms every other
+open embedding model of comparable size by **roughly 55%**. It is also **27% better** on issues that reference code directly
+and **23% better** at test-to-implementation retrieval.
 Beyond localization, it supports call-site-to-definition navigation and code search, where it leads its size class on CoIR StackOverflow QA
 and CodeSearchNet Python. It is a fine-tune of