Qwen/Qwen3-Reranker-4B
Primitive: /score · Score ·
Qwen3
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B).
Long context
View on Hugging Face → Fine-tuned from Qwen/Qwen3-4B-Base
Overview
Hardware: — drives latency, throughput & cost
| Size | 4.0B params |
|---|---|
| Tasks | /score |
| License | apache-2.0 |
| Latency | 580 ms |
| Throughput | 4.4K tok/s |
| Cost | $0.050 /1M tok |
Cost is approximate — computed from list GPU prices; your actual price depends on the provider you deploy SIE with.
Scoring
| Inputs | text |
|---|---|
| Max sequence length | 32,768 |
Benchmarks
AskUbuntuDupQuestions
Duplicate question detection from AskUbuntu
Corpus: 6,743 Queries: 360
Quality
ndcg at 10 0.6953
map at 10 0.5480
mrr at 10 0.7743
Performance L4 b1 c16
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