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license: cc-by-nc-4.0
language:
- en
base_model:
- Qwen/Qwen3-4B
pipeline_tag: text-ranking
tags:
- finance
- legal
- code
- stem
- medical
---
# zerank-1: ZeroEntropy Inc.'s SoTA reranker
<!-- Provide a quick summary of what the model is/does. -->
This model is the smaller version of [zeroentropy/zerank-1](https://huggingface.co/zeroentropy/zerank-1). This model is over 2x smaller, but maintains nearly the same standard of performance, continuing to outperform other popular rerankers.
It is an open-weights reranker model meant to be integrated into RAG applications to rerank results from preliminary search methods such as embeddings, BM25, and hybrid search.
## How to Use
```python
from sentence_transformers import CrossEncoder
model = CrossEncoder("zeroentropy/zerank-1-small", trust_remote_code=True)
query_documents = [
("What is 2+2?", "4"),
("What is 2+2?", "The answer is definitely 1 million"),
]
scores = model.predict(query_documents)
print(scores)
```
## Evaluations
Comparing NDCG@10 starting from top 100 documents by embedding (using text-3-embedding-small):
| 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 | 0.484 | **0.556** | 0.596 |
| Finance | 0.839 | 0.824 | 0.828 | **0.861** | 0.894 |
| Legal | 0.703 | 0.804 | 0.767 | **0.817** | 0.821 |
| Medical | 0.619 | 0.750 | 0.719 | **0.773** | 0.796 |
| STEM | 0.401 | 0.510 | 0.595 | **0.680** | 0.694 |
Comparing BM25 and Hybrid Search without and with zerank-1:
<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"/>
## Citation
**BibTeX:**
Coming soon!
**APA:**
Coming soon!
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