Ruri Large measured on 7 of 261 Embeddings benchmarks7
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
83.6JMTEB v2
Aug 2024released
1,024Dimensions
1K tokensMax input
jaLanguages
Alternatives?
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
cF2LLM v2 8BunstatedOpen+24%——Memory (4-bit): 0.2 GB → 4.5 GBcF2LLM v2 4BunstatedOpen+23%——Memory (4-bit): 0.2 GB → 2.4 GBcF2LLM v2 1.7BunstatedOpen+22%——Memory (4-bit): 0.2 GB → 1 GBcF2LLM v2 0.6BunstatedOpen+18%——Memory (4-bit): 0.2 GB → 0.4 GBcF2LLM v2 330MunstatedOpen+15%——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
History
2 versionsBenchmarks
in Embeddings & RetrievalJMTEB v2 · STS · Japanese83.6#15
FAQ
How much does Ruri Large cost?›
There is no per-unit API price: self-host only.
Is Ruri Large free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is Ruri Large, and what is it best at?›
#15 of 164 in Embeddings.
Is Ruri Large better than Ruri v3 70M?›
On JMTEB v2 · Classification · Japanese, Ruri Large scores 65.5 vs 66 — about the same.
When was Ruri Large released? Is there a newer version?›
Released 2024-08-28. It is the current version in its line.
Is Ruri Large open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Ruri Large locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Ruri Large?›
Ruri Large is an open-weights embeddings & retrieval model from cl-nagoya, released Aug 2024.
What are the best alternatives to Ruri Large?›
EmbeddingGemma 300M (better), F2LLM v2 8B (open weights).