Releasing zeroentropy/zerank 1 small In search enginers, rerankers are crucial for improving the accuracy of your retrieval system. This 1.7B reranker is the smaller version of our flagship model zeroentropy/zerank 1. Though the model is over 2x smaller, it maintains nearly the same standard of performance, continuing to outperform other popular rerankers, and displaying massive accuracy gains over traditional vector search. We release this model under the open source Apache License 2.0, in order to support the open source community and push the frontier of what's possible with open source models. Model Details Property Value Parameters 1.7B Context Length 32,768 tokens (32k) Base Model Qwen/Qwen3 4B License Apache 2.0 How to Use The model can also be inferenced using ZeroEntropy's /models/rerank endpoint. Evaluations NDCG@10 scores between zerank 1 small and competing closed source proprietary rerankers. Since we are evaluating rerankers, OpenAI's text embedding 3 small is used as an initial retriever for the Top 100 candidate documents. Task Embedding cohere rerank v3.5 Salesforce/Llama rank v1 zerank 1 small zerank 1 Code 0.678 0.724 0.694 0.730 0.754 Conversational 0.250 0.571…
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