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--- |
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license: apache-2.0 |
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language: |
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- en |
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base_model: |
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- Qwen/Qwen3-4B |
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pipeline_tag: text-ranking |
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tags: |
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- finance |
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- legal |
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- code |
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- stem |
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- medical |
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library_name: sentence-transformers |
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--- |
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<img src="https://i.imgur.com/oxvhvQu.png"/> |
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# Releasing zeroentropy/zerank-1-small |
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In search enginers, [rerankers are crucial](https://www.zeroentropy.dev/blog/what-is-a-reranker-and-do-i-need-one) for improving the accuracy of your retrieval system. |
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This 1.7B reranker is the smaller version of our flagship model [zeroentropy/zerank-1](https://huggingface.co/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. |
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We release this model under the open-source Apache 2.0 license, in order to support the open-source community and push the frontier of what's possible with open-source models. |
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## How to Use |
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```python |
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from sentence_transformers import CrossEncoder |
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model = CrossEncoder("zeroentropy/zerank-1-small", trust_remote_code=True) |
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query_documents = [ |
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("What is 2+2?", "4"), |
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("What is 2+2?", "The answer is definitely 1 million"), |
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] |
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scores = model.predict(query_documents) |
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print(scores) |
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``` |
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The model can also be inferenced using ZeroEntropy's [/models/rerank](https://docs.zeroentropy.dev/api-reference/models/rerank) endpoint. |
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## Evaluations |
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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. |
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| Task | Embedding | cohere-rerank-v3.5 | Salesforce/Llama-rank-v1 | **zerank-1-small** | zerank-1 | |
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|----------------|-----------|--------------------|--------------------------|----------------|----------| |
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| Code | 0.678 | 0.724 | 0.694 | **0.730** | 0.754 | |
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| Conversational | 0.250 | 0.571 | 0.484 | **0.556** | 0.596 | |
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| Finance | 0.839 | 0.824 | 0.828 | **0.861** | 0.894 | |
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| Legal | 0.703 | 0.804 | 0.767 | **0.817** | 0.821 | |
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| Medical | 0.619 | 0.750 | 0.719 | **0.773** | 0.796 | |
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| STEM | 0.401 | 0.510 | 0.595 | **0.680** | 0.694 | |
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Comparing BM25 and Hybrid Search without and with `zerank-1-small`: |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/67776f9dcd9c9435499eafc8/2GPVHFrI39FspnSNklhsM.png" alt="Description" width="400"/> <img src="https://cdn-uploads.huggingface.co/production/uploads/67776f9dcd9c9435499eafc8/dwYo2D7hoL8QiE8u3yqr9.png" alt="Description" width="400"/> |
