Opensearch Neural Sparse Encoding v2 Distill measured on 8 of 194 Embeddings benchmarks8
BenchmarkByScoreRank
No benchmark matches
price not verifiedprice
22.7MTEB Korean v2
Jul 2024released
1K tokensMax input
enLanguages
Alternatives?
ModelScoreCostPriceWhat changes
BetterBge Base En v1.5unstatedOpen+44%—$0.005Memory (4-bit): 0 GB → 0.1 GBSOpenPwC Embedding Expr×5.2——Memory (4-bit): 0 GB → 0.3 GB
BetterQwen 3 Embedding 8BunstatedOpen×4.9—$0.01Languages: not verified+1iBetterMultilingual E5 LargeunstatedOpen×4—$0.01Memory (4-bit): 0 GB → 0.3 GBiBetterMultilingual E5 Large InstructunstatedOpen×3.8—$0.01Memory (4-bit): 0 GB → 0.3 GBModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
Bge Base En v1.5unstatedOpen+44%—$0.005Memory (4-bit): 0 GB → 0.1 GBQwen 3 Embedding 8BunstatedOpen×4.9—$0.01Languages: not verified+1iMultilingual E5 LargeunstatedOpen×4—$0.01Memory (4-bit): 0 GB → 0.3 GBiMultilingual E5 Large InstructunstatedOpen×3.8—$0.01Memory (4-bit): 0 GB → 0.3 GBBge Large En v1.5unstatedOpen+72%—$0.01Memory (4-bit): 0 GB → 0.2 GBModelScoreCostPriceWhat changes
SPwC Embedding ExprOpen×5.2——Memory (4-bit): 0 GB → 0.3 GBnKURE v2Open×5——Memory (4-bit): 0 GB → 0.1 GBnKURE v1Open×5——Memory (4-bit): 0 GB → 0.3 GBsComsat Embed Ko 8B PreviewOpen×4.9——Memory (4-bit): 0 GB → 4.5 GBdBGE M3 KoOpen×4.9——Memory (4-bit): 0 GB → 0.3 GBModelScoreCostPriceWhat changes
oOpensearch Neural Sparse Encoding Multilingual v1Open×4.4——Memory (4-bit): 0 GB → 0.1 GBoOpensearch Neural Sparse Encoding Doc v3 GteOpenn/a——Memory (4-bit): 0 GB → 0.1 GBoOpensearch Neural Sparse Encoding Doc v3 DistillOpenn/a——oOpensearch Neural Sparse Encoding Doc v2 MiniOpenn/a——oOpensearch Neural Sparse Encoding Doc v2 DistillOpenn/a——All opensearch-project models →Run it yourself
estimateFits on✓ 8 GB (phone, laptop) · full quality✓ 16 GB · full quality✓ 24 GB GPU · full quality✓ 48 GB GPU · full quality✓ 80 GB GPU · full quality
LicenceApache-2.0free for commercial use
Benchmarks
in Embeddings & RetrievalFAQ
How much does Opensearch Neural Sparse Encoding v2 Distill cost?›
There is no per-unit API price: price not verified.
How good is Opensearch Neural Sparse Encoding v2 Distill, and what is it best at?›
#95 of 156 in Embeddings.
Is Opensearch Neural Sparse Encoding v2 Distill better than M2V Base Output?›
On MTEB Korean v2 · Reranking · Korean, Opensearch Neural Sparse Encoding v2 Distill scores 13.9 vs 13.9 — about the same.
When was Opensearch Neural Sparse Encoding v2 Distill released? Is there a newer version?›
Released 2024-07-17. It is the current version in its line.
Is Opensearch Neural Sparse Encoding v2 Distill open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Opensearch Neural Sparse Encoding v2 Distill locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Opensearch Neural Sparse Encoding v2 Distill?›
Opensearch Neural Sparse Encoding v2 Distill is an open-weights embeddings & retrieval model from opensearch-project, released Jul 2024.
What are the best alternatives to Opensearch Neural Sparse Encoding v2 Distill?›
Bge Base En v1.5 (better), PwC Embedding Expr (open weights).