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NovaSearch/stella_en_400M_v5
Open comparison →
Primitive: /encode · Encode ·
ModernBERT
We released a Jasper and Stella model technology report and code.(2025.1)
Dense
View on Hugging Face →
Overview
Hardware:
— drives latency, throughput & cost
| Size | 435M params |
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| Tasks | /encode |
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| License | mit |
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| Latency | 116 ms |
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| Throughput | 27.1K tok/s |
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| Cost | $0.0082 /1M tok |
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Cost is approximate — computed from list GPU prices; your actual price depends on the provider you deploy SIE with.
Embedding
| Output types | Dense |
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| Dimensions | dense: 1,024 |
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| Max sequence length | 512 |
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| Inputs | text |
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Benchmarks
Duplicate question retrieval from StackExchange Physics
Corpus: 38,314 Queries: 1,039
Quality
ndcg at 10 0.4836
map at 10 0.4156
mrr at 10 0.4717
Performance L4 b1 c16
Corpus 24.3K tok/s
Corpus p50 84.2ms
Query 2.5K tok/s
Query p50 56.9ms
Reference →
Code search with natural language queries
Corpus: 6,267 Queries: 500
Quality
ndcg at 10 0.3216
map at 10 0.2529
mrr at 10 0.2719
Performance L4 b1 c16
Corpus 12.8K tok/s
Corpus p50 67.0ms
Query 1.4K tok/s
Query p50 59.0ms
Reference →
Financial opinion mining and question answering
Corpus: 57,599 Queries: 648
Quality
ndcg at 10 0.5589
map at 10 0.4742
mrr at 10 0.6391
Performance L4 b1 c16
Corpus 24.7K tok/s
Corpus p50 97.7ms
Query 2.6K tok/s
Query p50 59.9ms
Reference →
Question answering on consumer contracts
Corpus: 153 Queries: 396
Quality
ndcg at 10 0.8107
map at 10 0.7633
mrr at 10 0.7645
Performance L4 b1 c16
Corpus 39.7K tok/s
Corpus p50 209.7ms
Query 3.6K tok/s
Query p50 61.0ms
Reference →
Biomedical literature search from NutritionFacts.org
Corpus: 3,593 Queries: 323
Quality
ndcg at 10 0.4125
map at 10 0.1615
mrr at 10 0.6096
Performance L4 b1 c16
Corpus 30.3K tok/s
Corpus p50 164.6ms
Query 1.1K tok/s
Query p50 68.1ms
Reference →
Smaller subset of the FiQA financial QA dataset
Quality
ndcg at 10 0.6158
map at 10 0.5412
mrr at 10 0.6537
Performance L4 b1 c16
Corpus 25.2K tok/s
Corpus p50 103.9ms
Query 2.7K tok/s
Query p50 58.3ms
Reference →
Citation prediction, document classification, and recommendation for scientific papers
Corpus: 25,656 Queries: 1,000
Quality
ndcg at 10 0.2501
map at 10 0.1523
mrr at 10 0.4130
Performance L4 b1 c16
Corpus 27.1K tok/s
Corpus p50 115.7ms
Query 2.6K tok/s
Query p50 57.4ms
Reference →
Scientific claim verification using research literature
Corpus: 5,183 Queries: 300
Quality
ndcg at 10 0.7842
map at 10 0.7358
mrr at 10 0.7455
Performance L4 b1 c16
Corpus 28.4K tok/s
Corpus p50 156.1ms
Query 3.4K tok/s
Query p50 60.0ms
Reference →
Programming question answering from Stack Overflow
Corpus: 19,931 Queries: 1,994
Quality
ndcg at 10 0.8666
map at 10 0.8439
mrr at 10 0.8439
Performance L4 b1 c16
Corpus 28.2K tok/s
Corpus p50 134.6ms
Query 31.9K tok/s
Query p50 153.3ms
Reference →
