初始化项目，由ModelHub XC社区提供模型

Model: nomic-ai/CodeRankLLM
Source: Original Platform

README.md

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+---
+license: mit
+base_model:
+- Qwen/Qwen2.5-Coder-7B-Instruct
+---
+
+
+`CodeRankLLM` is a 7B LLM fine-tuned for listwise code-reranking. When combined with performant code retrievers like [`CodeRankEmbed`](https://huggingface.co/cornstack/CodeRankEmbed), it significantly enhances the quality of retrieved results for various code retrieval tasks. 
+
+We release the scripts to evaluate our model's performance [here](https://github.com/gangiswag/cornstack).
+
+
+## Training
+
+Our code reranker is based on LLM-based listwise reranking, which has gained prominence for the ability to score multiple passages simultaneously. Training data for listwise reranking was generated by selecting 50,000 <query, positive, negatives> tuples from our high-quality dataset [CoRNStack](https://gangiswag.github.io/cornstack/), filtered to ensure higher similarity scores and better ranks for the positives. Since CoRNStack doesn't contain the ranked ordering data required for training listwise rerankers, we leverage [Qwen-2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) LLM provided ranked orderings for each example to serve as ranking supervision. We initialize our reranker with [Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) and fine-tune using a language modeling objective that minimizes the prediction error of the next token in the sequence.
+
+# Citation
+
+If you find the model, dataset, or training code useful, please cite our work:
+
+```bibtex
+@misc{suresh2025cornstackhighqualitycontrastivedata,
+      title={CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking}, 
+      author={Tarun Suresh and Revanth Gangi Reddy and Yifei Xu and Zach Nussbaum and Andriy Mulyar and Brandon Duderstadt and Heng Ji},
+      year={2025},
+      eprint={2412.01007},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2412.01007}, 
+}
+```