Ruri Large v2 measured on 7 of 261 Embeddings benchmarks7
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
83.6JMTEB v2
Dec 2024released
1,024Dimensions
1K tokensMax input
jaLanguages
Alternatives?
ModelScoreCostPriceWhat changes
NOpenJa Embed Sts+2%——cOpenF2LLM v2 8Bunstated+2%——Memory (4-bit): 0.2 GB → 4.5 GBModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
NJa Embed StsOpen+2%——cF2LLM v2 8BunstatedOpen+2%——Memory (4-bit): 0.2 GB → 4.5 GBRun 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
History
2 versionsBenchmarks
in Embeddings & RetrievalJMTEB v2 · STS · Japanese83.6#13
FAQ
How much does Ruri Large v2 cost?›
There is no per-unit API price: self-host only.
Is Ruri Large v2 free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is Ruri Large v2, and what is it best at?›
#13 of 164 in Embeddings.
Is Ruri Large v2 better than E5 Mistral 7B Instruct?›
On JMTEB v2 · STS · Japanese, Ruri Large v2 scores 83.6 vs 83.6 — about the same.
When was Ruri Large v2 released? Is there a newer version?›
Released 2024-12-06. It is the current version in its line.
Is Ruri Large v2 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Ruri Large v2 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Ruri Large v2?›
Ruri Large v2 is an open-weights embeddings & retrieval model from cl-nagoya, released Dec 2024.
What are the best alternatives to Ruri Large v2?›
Ja Embed Sts (open weights).