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naver/splade-v3 Add to compare Open comparison →
Primitive: /encode · Encode ·
BERT
This checkpoint corresponds to a model that starts from SPLADE++SelfDistil (`naver/splade-cocondenser-selfdistil`), and is trained with a mix of KL-Div and MarginMSE, with 8 negatives per query sampled from SPLADE++SelfDistil. We used the original MS MARCO collection without the titles.
Sparse
View on Hugging Face →
Overview
Hardware:
L4 RTX-PRO-6000 — drives latency, throughput & cost
Size 110M params Tasks /encode License cc-by-nc-sa-4.0 Languages en Latency 84 ms Throughput 29.6K tok/s Cost $0.0075 /1M tok
Cost is approximate — computed from list GPU prices; your actual price depends on the provider you deploy SIE with.
Embedding Output types Sparse Dimensions sparse: 30,522 Max sequence length 512 Inputs text
Benchmarks Duplicate question retrieval from StackExchange Physics
Corpus: 38,314 Queries: 1,039
Quality
ndcg at 10 0.3639
map at 10 0.3082
mrr at 10 0.3560
Performance L4 b1 c16
Corpus 20.7K tok/s
Corpus p50 73.7ms
Query 3.0K tok/s
Query p50 52.9ms
Reference →
Code search with natural language queries
Corpus: 6,267 Queries: 500
Quality
ndcg at 10 0.2045
map at 10 0.1567
mrr at 10 0.1702
Performance L4 b1 c16
Corpus 9.1K tok/s
Corpus p50 62.2ms
Query 1.6K tok/s
Query p50 51.3ms
Reference →
Financial opinion mining and question answering
Corpus: 57,599 Queries: 648
Quality
ndcg at 10 0.2768
map at 10 0.2113
mrr at 10 0.3451
Performance L4 b1 c16
Corpus 24.5K tok/s
Corpus p50 67.6ms
Query 3.3K tok/s
Query p50 51.2ms
Reference →
Question answering on consumer contracts
Corpus: 153 Queries: 396
Quality
ndcg at 10 0.7393
map at 10 0.6784
mrr at 10 0.6805
Performance L4 b1 c16
Corpus 56.0K tok/s
Corpus p50 115.2ms
Query 4.5K tok/s
Query p50 52.2ms
Reference →
Biomedical literature search from NutritionFacts.org
Corpus: 3,593 Queries: 323
Quality
ndcg at 10 0.3404
map at 10 0.1300
mrr at 10 0.5417
Performance L4 b1 c16
Corpus 37.0K tok/s
Corpus p50 98.4ms
Query 1.4K tok/s
Query p50 52.6ms
Performance RTX-4090 b1 c16
Corpus 108.8K tok/s
Corpus p50 40.3ms
Query 3.5K tok/s
Query p50 19.1ms
Reference →
Citation prediction, document classification, and recommendation for scientific papers
Corpus: 25,656 Queries: 1,000
Quality
ndcg at 10 0.1543
map at 10 0.0878
mrr at 10 0.2686
Performance L4 b1 c16
Corpus 26.2K tok/s
Corpus p50 83.4ms
Query 3.0K tok/s
Query p50 53.6ms
Reference →
Scientific claim verification using research literature
Corpus: 5,183 Queries: 300
Quality
ndcg at 10 0.6846
map at 10 0.6371
mrr at 10 0.6524
Performance L4 b1 c16
Corpus 35.8K tok/s
Corpus p50 89.7ms
Query 4.5K tok/s
Query p50 52.1ms
Reference →
Programming question answering from Stack Overflow
Corpus: 19,931 Queries: 1,994
Quality
ndcg at 10 0.7380
map at 10 0.7057
mrr at 10 0.7057
Performance L4 b1 c16
Corpus 33.0K tok/s
Corpus p50 84.0ms
Query 50.8K tok/s
Query p50 91.0ms
Reference →
