nomic-ai/CodeRankLLM

CodeRankLLM is a 7.6 billion parameter language model developed by nomic-ai, specifically fine-tuned for listwise code-reranking. It enhances the quality of retrieved results for various code retrieval tasks when combined with performant code retrievers. This model excels at re-ranking code snippets, improving the relevance and order of search results in code-related applications. It was initialized from Qwen2.5-Coder-7B-Instruct and trained using a language modeling objective.