metadata
license: apache-2.0
base_model: Qwen/Qwen3-4B
tags:
- text-ranking
- reranker
- sentence-transformers
- safetensors
- english
language:
- en
zerank-1-small-seq
Internal DevRev mirror of zeroentropy/zerank-1-small.
Original model by ZeroEntropy — released under Apache 2.0.
Model details
| Property | Value |
|---|---|
| Parameters | 1.7B |
| Context length | 32,768 tokens |
| Base model | Qwen/Qwen3-4B |
| Tensor type | BF16 |
| License | Apache-2.0 |
Usage
from sentence_transformers import CrossEncoder
model = CrossEncoder("devrev/zerank-1-small-seq")
query = "Which planet is known as the Red Planet?"
passages = [
"Venus is often called Earth's twin...",
"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
]
scores = model.predict([(query, passage) for passage in passages])
print(scores)
Performance (NDCG@10)
| Domain | Score |
|---|---|
| Finance | 0.861 |
| Legal | 0.817 |
| Medical | 0.773 |
| Code | 0.730 |
| STEM | 0.680 |
| Conversational | 0.556 |