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Linq-AI-Research/Linq-Embed-Mistral

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Primitive: /encode · Encode · Mistral

Linq-AI-Research/Linq-Embed-Mistral

Long contextDense

Overview

Hardware: — drives latency, throughput & cost

Size7.1B params
Tasks /encode
Licensecc-by-nc-4.0
Languagesen
Latency818 ms
Throughput2.9K tok/s
Cost$0.075 /1M tok

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

Embedding

Output typesDense
Dimensionsdense: 4,096
Max sequence length32,768
Inputstext

Benchmarks

CQADupstackPhysicsRetrieval

scientific retrieval en

Duplicate question retrieval from StackExchange Physics

Corpus: 38,314 Queries: 1,039
Quality
ndcg at 10 0.4989
map at 10 0.4345
mrr at 10 0.4896
Reference →

CosQA

technology retrieval en

Code search with natural language queries

Corpus: 6,267 Queries: 500
Quality
ndcg at 10 0.3279
map at 10 0.2568
mrr at 10 0.2554
Reference →

FiQA2018

finance retrieval en

Financial opinion mining and question answering

Corpus: 57,599 Queries: 648
Quality
ndcg at 10 0.6135
map at 10 0.5329
mrr at 10 0.6923
Reference →

LegalBenchConsumerContractsQA

legal retrieval en

Question answering on consumer contracts

Corpus: 153 Queries: 396
Quality
ndcg at 10 0.7966
map at 10 0.7467
mrr at 10 0.7467
Reference →

NFCorpus

medical retrieval en

Biomedical literature search from NutritionFacts.org

Corpus: 3,593 Queries: 323
Quality
ndcg at 10 0.4192
map at 10 0.1653
mrr at 10 0.6439
Performance L4 b1 c16
Corpus 3.0K tok/s
Corpus p50 968.2ms
Query 210 tok/s
Query p50 231.6ms
Reference →

NanoFiQA2018Retrieval

finance retrieval en

Smaller subset of the FiQA financial QA dataset

Quality
ndcg at 10 0.6402
map at 10 0.5716
mrr at 10 0.6722
Performance L4 b1 c16
Corpus 2.9K tok/s
Corpus p50 667.7ms
Query 459 tok/s
Query p50 259.6ms
Reference →

SCIDOCS

scientific retrieval en

Citation prediction, document classification, and recommendation for scientific papers

Corpus: 25,656 Queries: 1,000
Quality
ndcg at 10 0.2203
map at 10 0.1315
mrr at 10 0.3650
Reference →

SciFact

scientific retrieval en

Scientific claim verification using research literature

Corpus: 5,183 Queries: 300
Quality
ndcg at 10 0.7853
map at 10 0.7402
mrr at 10 0.7502
Reference →

StackOverflowQA

technology retrieval en

Programming question answering from Stack Overflow

Corpus: 19,931 Queries: 1,994
Quality
ndcg at 10 0.9438
map at 10 0.9332
mrr at 10 0.9332
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 3.3K

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