We are integrating the RankLLaMA model:

🔗 https://github.com/texttron/tevatron/tree/main/examples/rankllama
📄 Paper: RepLLaMA: Fine-Tuning LLaMA for Multi-Stage Text Retrieval
https://arxiv.org/abs/2310.08319

Tasks:

Add RankLLaMA inference for reranking pipeline

Validate input construction, prompt formatting, and output score parsing

Ensure correct model weights and LoRA adapters are loaded

Schedule evaluation on standard benchmarks

Document and address any inconsistencies if they arise