Static Retrieval Mrl En v1 measured on 16 of 261 Embeddings benchmarks16
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
35MTEB English v2
Oct 2024released
enLanguages
Rankingconfiguration unstated?
Full ranking →···
213Gtr T5 Base64.8214Static Retrieval Mrl En v164.5215Spectral Embed v1 140M64.4Strong at
Alternatives?
ModelScoreCostPriceWhat changes
BetterEmbeddingGemma 300MunstatedOpen+36%—$0.002Languages: not verified+1cOpenF2LLM 4Bunstated+42%——Memory (4-bit): 0 GB → 2.4 GB
BetterBge Base En v1.5unstatedOpen+21%—$0.005Memory (4-bit): 0 GB → 0.1 GBiBetterE5 Base v2unstatedOpen+17%—$0.005Memory (4-bit): 0 GB → 0.1 GBtBetterGte BaseunstatedOpen+16%—$0.005Memory (4-bit): 0 GB → 0.1 GBModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
EmbeddingGemma 300MunstatedOpen+36%—$0.002Languages: not verified+1Bge Base En v1.5unstatedOpen+21%—$0.005Memory (4-bit): 0 GB → 0.1 GBiE5 Base v2unstatedOpen+17%—$0.005Memory (4-bit): 0 GB → 0.1 GBtGte BaseunstatedOpen+16%—$0.005Memory (4-bit): 0 GB → 0.1 GBsAll MiniLM L6 v2unstatedOpen+7%—$0.005ModelScoreCostPriceWhat changes
cF2LLM 4BunstatedOpen+42%——Memory (4-bit): 0 GB → 2.4 GBcF2LLM v2 4BunstatedOpen+42%——Memory (4-bit): 0 GB → 2.4 GBaGiga Embeddings Instruct 10B A1.8B 0826unstatedOpen+42%——Memory (4-bit): 0 GB → 6.3 GBcF2LLM v2 8BunstatedOpen+42%——Memory (4-bit): 0 GB → 4.5 GBaGiga Embeddings Instruct 3B 0826unstatedOpen+42%——Memory (4-bit): 0 GB → 1.9 GBModelScoreCostPriceWhat changes
sSentence T5 XlunstatedOpen+19%——Memory (4-bit): 0 GB → 0.7 GBsParaphrase Multilingual Mpnet Base v2unstatedOpen+12%——Memory (4-bit): 0 GB → 0.2 GBsAll MiniLM L6 v2unstatedOpen+7%—$0.005sParaphrase Multilingual MiniLM L12 v2unstatedOpen+7%——Memory (4-bit): 0 GB → 0.1 GBsLaBSEunstatedOpen+5%——Memory (4-bit): 0 GB → 0.3 GBsStatic Similarity Mrl Multilingual v1unstatedOpen+3%——Memory (4-bit): 0 GB → 0.1 GBsSentence T5 XxlunstatedOpen+3%——Memory (4-bit): 0 GB → 2.9 GBsGtr T5 BaseunstatedOpensame——Memory (4-bit): 0 GB → 0.1 GBAll 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#159
BEIR · Retrieval · English34.1#159
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 Gtr T5 Base?›
On MTEB English v2 · Classification · English, Static Retrieval Mrl En v1 scores 64.5 vs 64.8 — 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?›
EmbeddingGemma 300M (better), F2LLM 4B (open weights).