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lightonai/mLateOn

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Primitive: /encode · Encode · ModernBERT

State-of-the-Art Multilingual ColBERT Retrieval Model by LightOn

MultilingualLong contextMulti-vector

Overview

Hardware: — drives latency, throughput & cost

Size307M params
Tasks /encode · /score
Licenseapache-2.0
Languagesen, fr, de, it, es, pt, sv, no, ar, code
Latency
Throughput
Cost /1M tok

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

Embedding

Output typesMulti-Vec
Dimensionsmultivector: 128
Max sequence length8,192
Inputstext

Benchmarks

CQADupstackPhysicsRetrieval

scientific retrieval en

Duplicate question retrieval from StackExchange Physics

Corpus: 38,314 Queries: 1,039
Quality
ndcg at 10 0.4723
map at 10 0.4116
mrr at 10 0.4703
Reference →

CosQA

technology retrieval en

Code search with natural language queries

Corpus: 6,267 Queries: 500
Quality
ndcg at 10 0.3916
map at 10 0.2995
mrr at 10 0.2784
Reference →

FiQA2018

finance retrieval en

Financial opinion mining and question answering

Corpus: 57,599 Queries: 648
Quality
ndcg at 10 0.4991
map at 10 0.4143
mrr at 10 0.5711
Reference →

LegalBenchConsumerContractsQA

legal retrieval en

Question answering on consumer contracts

Corpus: 153 Queries: 396
Quality
ndcg at 10 0.8567
map at 10 0.8173
mrr at 10 0.8181
Reference →

NFCorpus

medical retrieval en

Biomedical literature search from NutritionFacts.org

Corpus: 3,593 Queries: 323
Quality
ndcg at 10 0.3776
map at 10 0.1479
mrr at 10 0.5900
Reference →

SCIDOCS

scientific retrieval en

Citation prediction, document classification, and recommendation for scientific papers

Corpus: 25,656 Queries: 1,000
Quality
ndcg at 10 0.2047
map at 10 0.1233
mrr at 10 0.3506
Reference →

SciFact

scientific retrieval en

Scientific claim verification using research literature

Corpus: 5,183 Queries: 300
Quality
ndcg at 10 0.7646
map at 10 0.7261
mrr at 10 0.7369
Reference →

StackOverflowQA

technology retrieval en

Programming question answering from Stack Overflow

Corpus: 19,931 Queries: 1,994
Quality
ndcg at 10 0.9239
map at 10 0.9105
mrr at 10 0.9105
Reference →

Open source inference for agents

Open-source inference for the models behind your agents. Run it yourself, or let us run it for you.

Github 2.8K

Contact us

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Apply for an inference grant

Free capacity on our hosted cluster for selected projects. Tell us what you run and we reply by email.