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 |
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from sentence_transformers import CrossEncoder model = CrossEncoder("devrev/zerank-1-small-seq-dup") query = "Which planet is known as the Red Planet?" passages = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", "Saturn, famous for its rings, is sometimes mistaken for the Red Planet." ] scores = model.predict([(query, passage) for passage in passages]) print(scores)