Boost Your Search: How the Ettin Reranker Family Enhances Accuracy and Speed
2 min read
Consequently, the first model is called ettin-reranker-150m-v1. Specifically, it is a small, efficient tool that is easy to use. Therefore, it can make many online searches smarter and more accurate for everyone.
In particular, this is a powerful tool for developers. Ultimately, it helps create better experiences for users on many websites and apps.
| Model | Parameters | NDCG@10 (BEIR) |
|---|---|---|
| ettin-reranker-150m-v1 | 0.15B | 0.487 |
| ettin-reranker-300m-v1 | 0.30B | 0.524 |
| ettin-reranker-600m-v1 | 0.60B | 0.556 |
| BM25 (Baseline) | — | 0.310 |
Text Ranking via Ettin Reranker
Ultimately, the Ettin Reranker Family brings a compact and efficient model to text ranking tasks for everyone. Therefore, with only 150 million parameters, it offers an accessible entry point for developers and researchers alike. Thus, this small yet capable model can help improve search and retrieval systems without heavy computing costs.
Consequently, the recent update and strong community interest show growing trust in this open approach. Accordingly, teams of all sizes can now integrate smarter ranking into their projects with ease. In summary, the Ettin Reranker 150M stands as a practical and inclusive step forward for natural language processing.
