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jinaai/jina-reranker-v2-base-multilingual

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Primitive: /score · Score · XLM-RoBERTa

Trained by Jina AI.

Multilingual

Overview

Hardware: — drives latency, throughput & cost

Size278M params
Tasks /score
Licensecc-by-nc-4.0
Languagesmultilingual
Latency38 ms
Throughput29.0K tok/s
Cost$0.0077 /1M tok

Cost is approximate — computed from list GPU prices; your actual price depends on the provider you deploy SIE with.

Scoring

Inputstext
Max sequence length1,024

Benchmarks

AskUbuntuDupQuestions

technology reranking en

Duplicate question detection from AskUbuntu

Corpus: 6,743 Queries: 360
Quality
ndcg at 10 0.6546
map at 10 0.5008
mrr at 10 0.7429
Performance L4 b1 c16
Query 8.3K tok/s
Query p50 32.0ms
Reference →

CMedQAv1Reranking

medical reranking zh

Chinese medical question answering reranking (v1)

Corpus: 100,000 Queries: 2,000
Quality
map at 10 0.2034
mrr at 10 0.2747
Reference →

CMedQAv2Reranking

medical reranking zh

Chinese medical question answering reranking (v2)

Corpus: 108,000 Queries: 4,000
Quality
map at 10 0.2063
mrr at 10 0.2837
Reference →

CQADupstackPhysicsRetrieval

scientific retrieval en

Duplicate question retrieval from StackExchange Physics

Corpus: 38,314 Queries: 1,039
Quality
map at 10 0.3881
mrr at 10 0.4466
ndcg at 10 0.4504
Reference →

CosQA

technology retrieval en

Code search with natural language queries

Corpus: 6,267 Queries: 500
Quality
map at 10 0.2628
mrr at 10 0.2768
ndcg at 10 0.3422
Reference →

FiQA2018

finance retrieval en

Financial opinion mining and question answering

Corpus: 57,599 Queries: 648
Quality
map at 10 0.3775
mrr at 10 0.5473
ndcg at 10 0.4608
Reference →

LegalBenchConsumerContractsQA

legal retrieval en

Question answering on consumer contracts

Corpus: 153 Queries: 396
Quality
map at 10 0.7690
mrr at 10 0.7705
ndcg at 10 0.8143
Reference →

MMarcoReranking

general reranking zh

Multilingual MARCO passage reranking (Chinese)

Quality
map at 10 0.3433
mrr at 10 0.3622
Performance L4 b1 c16
Reference →

NFCorpus

medical retrieval en

Biomedical literature search from NutritionFacts.org

Corpus: 3,593 Queries: 323
Quality
map at 10 0.2783
mrr at 10 0.5973
ndcg at 10 0.3760
Reference →

SCIDOCS

scientific retrieval en

Citation prediction, document classification, and recommendation for scientific papers

Corpus: 25,656 Queries: 1,000
Quality
map at 10 0.1204
mrr at 10 0.3561
ndcg at 10 0.2026
Reference →

SciFact

scientific retrieval en

Scientific claim verification using research literature

Corpus: 5,183 Queries: 300
Quality
map at 10 0.7335
mrr at 10 0.7499
ndcg at 10 0.7743
Reference →

StackOverflowQA

technology retrieval en

Programming question answering from Stack Overflow

Corpus: 19,931 Queries: 1,994
Quality
map at 10 0.8902
mrr at 10 0.8909
ndcg at 10 0.9077
Reference →

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