ibm-granite/granite-embedding-30m-sparse
Model Summary: Granite-Embedding-30m-Sparse is a 30M parameter sparse biencoder embedding model from the Granite Experimental suite that can be used to generate high quality text embeddings.
Overview
Benchmarks
CQADupstackPhysicsRetrieval
Duplicate question retrieval from StackExchange Physics
Corpus: 38,314 Queries: 1,039
Performance L4 b1 c16
Corpus 22.8K tok/s
Corpus p50 94.5ms
Query 3.7K tok/s
Query p50 46.3ms
CosQA
Code search with natural language queries
Corpus: 6,267 Queries: 500
Performance L4 b1 c16
Corpus 13.9K tok/s
Corpus p50 59.0ms
Query 2.1K tok/s
Query p50 45.2ms
FiQA2018
Financial opinion mining and question answering
Corpus: 57,599 Queries: 648
Performance L4 b1 c16
Corpus 25.0K tok/s
Corpus p50 106.9ms
Query 4.1K tok/s
Query p50 46.3ms
LegalBenchConsumerContractsQA
Question answering on consumer contracts
Corpus: 153 Queries: 396
Performance L4 b1 c16
Corpus 69.5K tok/s
Corpus p50 112.3ms
Query 5.7K tok/s
Query p50 46.7ms
NFCorpus
Biomedical literature search from NutritionFacts.org
Corpus: 3,593 Queries: 323
Quality
ndcg at 10 0.3147
map at 10 0.1224
mrr at 10 0.5112
Performance L4 b1 c16
Corpus 42.5K tok/s
Corpus p50 105.3ms
Query 1.0K tok/s
Query p50 51.6ms
SCIDOCS
Citation prediction, document classification, and recommendation for scientific papers
Corpus: 25,656 Queries: 1,000
Performance L4 b1 c16
Corpus 30.3K tok/s
Corpus p50 103.1ms
Query 3.9K tok/s
Query p50 45.5ms
SciFact
Scientific claim verification using research literature
Corpus: 5,183 Queries: 300
Performance L4 b1 c16
Corpus 40.6K tok/s
Corpus p50 105.1ms
Query 5.9K tok/s
Query p50 45.7ms
StackOverflowQA
Programming question answering from Stack Overflow
Corpus: 19,931 Queries: 1,994
Performance L4 b1 c16
Corpus 33.6K tok/s
Corpus p50 109.4ms
Query 44.1K tok/s
Query p50 111.7ms