Multi Qa Mpnet Base Dot v1 measured on 7 of 261 Embeddings benchmarks7
BenchmarkByScoreRank
No benchmark matches
Alternatives?
ModelScoreCostPriceWhat changes
BetterBge Base En v1.5unstatedOpen+8%same$0.005cOpenF2LLM v2 8Bunstated+48%——Memory (4-bit): 0.1 GB → 4.5 GBiBetterE5 Base v2unstatedOpen+5%same$0.005BetterBge Large En v1.5unstatedOpen+11%+100%$0.01Memory (4-bit): 0.1 GB → 0.2 GBiBetterMultilingual E5 LargeunstatedOpen+9%+100%$0.01Memory (4-bit): 0.1 GB → 0.3 GBModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
Bge Base En v1.5unstatedOpen+8%same$0.005iE5 Base v2unstatedOpen+5%same$0.005Bge Large En v1.5unstatedOpen+11%+100%$0.01Memory (4-bit): 0.1 GB → 0.2 GBiMultilingual E5 LargeunstatedOpen+9%+100%$0.01Memory (4-bit): 0.1 GB → 0.3 GBiE5 Large v2unstatedOpen+6%+100%$0.01Memory (4-bit): 0.1 GB → 0.2 GBModelScoreCostPriceWhat changes
cF2LLM v2 8BunstatedOpen+48%——Memory (4-bit): 0.1 GB → 4.5 GBcF2LLM v2 4BunstatedOpen+41%——Memory (4-bit): 0.1 GB → 2.4 GBcF2LLM v2 1.7BunstatedOpen+30%——Memory (4-bit): 0.1 GB → 1 GBcF2LLM v2 330MunstatedOpen+24%——Memory (4-bit): 0.1 GB → 0.2 GBcF2LLM v2 0.6BunstatedOpen+24%——Memory (4-bit): 0.1 GB → 0.4 GBModelScoreCostPriceWhat changes
sAll MiniLM L12 v2unstatedOpen+4%same$0.005Max input: 1K tokens → 0K tokenssAll MiniLM L6 v2unstatedOpen+3%same$0.005Max input: 1K tokens → 0K tokenssAll Mpnet Base v2unstatedOpensamesame$0.005Max input: 1K tokens → 0K tokenssStatic Similarity Mrl Multilingual v1unstatedOpen-16%——Max input: not verifiedsStatic Retrieval Mrl En v1unstatedOpenn/a——Max input: not verifiedsSentence T5 XlunstatedOpenn/a——Max input: 1K tokens → 0K tokens+1sSentence T5 XxlunstatedOpenn/a——Max input: 1K tokens → 0K tokens+1sParaphrase MiniLM L6 v2Openn/a—$0.005Max input: 1K tokens → 0K tokens+2All 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
Licencenot verified
Benchmarks
in Embeddings & RetrievalFAQ
How much does Multi Qa Mpnet Base Dot v1 cost?›
$0.005 per 1M tokens.
Is Multi Qa Mpnet Base Dot v1 free to use?›
There is no free API; the cheapest paid price is $0.005 per 1M input tokens. The weights are open, so you can run it yourself.
How good is Multi Qa Mpnet Base Dot v1, and what is it best at?›
#43 of 48 in Embeddings.
Is Multi Qa Mpnet Base Dot v1 better than All Mpnet Base v2?›
On ChemTEB · Pair Classification · multilingual (13 languages), Multi Qa Mpnet Base Dot v1 scores 52.4 vs 52.9 — about the same. It is 0% more expensive.
How can I use Multi Qa Mpnet Base Dot v1?›
Through the sentence-transformers API.
When was Multi Qa Mpnet Base Dot v1 released? Is there a newer version?›
Released 2021-08-23. It is the current version in its line.
Is Multi Qa Mpnet Base Dot v1 open source?›
Yes, the weights are open.
Can I run Multi Qa Mpnet Base Dot v1 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Multi Qa Mpnet Base Dot v1?›
Multi Qa Mpnet Base Dot v1 is an open-weights embeddings & retrieval model from sentence-transformers, released Aug 2021.
What are the best alternatives to Multi Qa Mpnet Base Dot v1?›
Bge Base En v1.5 (better), F2LLM v2 8B (open weights).