Static Retrieval Mrl En v1 measured on 16 of 194 Embeddings benchmarks16
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
35MTEB English v2
Oct 2024released
enLanguages
Rankingconfiguration unstated?
Full ranking →···
167Jina Embeddings v2 Small En8.3168Static Retrieval Mrl En v18169Gte Micro v47.5Strong at
Alternatives?
ModelScoreCostPriceWhat changes
iBetterE5 Base v2unstatedOpen×3.2—$0.005Memory (4-bit): 0 GB → 0.1 GB
OpenNemotron 3 Embed 8B BF16×8.1——Memory (4-bit): 0 GB → 4.8 GBtBetterGte BaseunstatedOpen×3—$0.005Memory (4-bit): 0 GB → 0.1 GB
BetterBge Base En v1.5unstatedOpen×2.9—$0.005Memory (4-bit): 0 GB → 0.1 GBsBetterAll MiniLM L12 v2unstatedOpen+62%—$0.005ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
iE5 Base v2unstatedOpen×3.2—$0.005Memory (4-bit): 0 GB → 0.1 GBtGte BaseunstatedOpen×3—$0.005Memory (4-bit): 0 GB → 0.1 GBBge Base En v1.5unstatedOpen×2.9—$0.005Memory (4-bit): 0 GB → 0.1 GBsAll MiniLM L12 v2unstatedOpen+62%—$0.005sAll Mpnet Base v2unstatedOpen+59%—$0.005Memory (4-bit): 0 GB → 0.1 GBModelScoreCostPriceWhat changes
Nemotron 3 Embed 8B BF16Open×8.1——Memory (4-bit): 0 GB → 4.8 GBOOcten Embedding 4BOpen×8.1——Memory (4-bit): 0 GB → 2.4 GBOOcten Embedding 4B INT8Open×8.1——Memory (4-bit): 0 GB → 2.4 GBnKURE v3Open×7.8——Memory (4-bit): 0 GB → 0.7 GBNV Embed v2unstatedOpen×7.7——Memory (4-bit): 0 GB → 4.7 GBModelScoreCostPriceWhat changes
sParaphrase Multilingual Mpnet Base v2unstatedOpen×3.4——Memory (4-bit): 0 GB → 0.2 GBsParaphrase Multilingual MiniLM L12 v2unstatedOpen×2.8——Memory (4-bit): 0 GB → 0.1 GBsStatic Similarity Mrl Multilingual v1unstatedOpen×2.2——Memory (4-bit): 0 GB → 0.1 GBsLaBSEunstatedOpen+64%——Memory (4-bit): 0 GB → 0.3 GBsAll MiniLM L12 v2unstatedOpen+62%—$0.005sAll Mpnet Base v2unstatedOpen+59%—$0.005Memory (4-bit): 0 GB → 0.1 GBsMulti Qa MiniLM L6 Cos v1unstatedOpen+39%——sAll MiniLM L6 v2unstatedOpen+28%—$0.005All sentence-transformers 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 & RetrievalBEIR · Mean over tasks · English34.1#161
BEIR · Retrieval · English34.1#161
FAQ
How much does Static Retrieval Mrl En v1 cost?›
There is no per-unit API price: self-host only.
Is Static Retrieval Mrl En v1 free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is Static Retrieval Mrl En v1, and what is it best at?›
#157 of 200 in Embeddings.
Is Static Retrieval Mrl En v1 better than Jina Embeddings v2 Small En?›
On RTEB French beta · Mean over tasks · multilingual (2 languages), Static Retrieval Mrl En v1 scores 8 vs 8.3 — about the same.
When was Static Retrieval Mrl En v1 released? Is there a newer version?›
Released 2024-10-24. It is the current version in its line.
Is Static Retrieval Mrl En v1 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Static Retrieval Mrl En v1 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Static Retrieval Mrl En v1?›
Static Retrieval Mrl En v1 is an open-weights embeddings & retrieval model from sentence-transformers, released Oct 2024.
What are the best alternatives to Static Retrieval Mrl En v1?›
E5 Base v2 (better), Nemotron 3 Embed 8B BF16 (open weights).