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This model is a T5-3B reranker fine-tuned on the MS MARCO passage dataset for 10k steps (or 1 epoch).

For more details on how to use it, check pygaggle.ai

Paper describing the model: Document Ranking with a Pretrained Sequence-to-Sequence Model

This model is also the state of the art on the BEIR Benchmark.

Paper: No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval
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