Ruri Base v2 measured on 7 of 261 Embeddings benchmarks7
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
83.1JMTEB v2
Dec 2024released
768Dimensions
1K tokensMax input
jaLanguages
Alternatives?
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
cF2LLM v2 8BunstatedOpen+41%——Memory (4-bit): 0.1 GB → 4.5 GBcF2LLM v2 4BunstatedOpen+40%——Memory (4-bit): 0.1 GB → 2.4 GBcF2LLM v2 1.7BunstatedOpen+38%——Memory (4-bit): 0.1 GB → 1 GBcF2LLM v2 0.6BunstatedOpen+35%——Memory (4-bit): 0.1 GB → 0.4 GBcF2LLM v2 330MunstatedOpen+30%——Memory (4-bit): 0.1 GB → 0.2 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 · Japanese83.1#18
FAQ
How much does Ruri Base v2 cost?›
There is no per-unit API price: self-host only.
Is Ruri Base v2 free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is Ruri Base v2, and what is it best at?›
#18 of 164 in Embeddings.
Is Ruri Base v2 better than Bilingual Embedding Small?›
On JMTEB v2 · Clustering · Japanese, Ruri Base v2 scores 50.5 vs 50.7 — about the same.
When was Ruri Base v2 released? Is there a newer version?›
Released 2024-12-05. It is the current version in its line.
Is Ruri Base v2 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Ruri Base v2 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Ruri Base v2?›
Ruri Base v2 is an open-weights embeddings & retrieval model from cl-nagoya, released Dec 2024.
What are the best alternatives to Ruri Base v2?›
EmbeddingGemma 300M (better), F2LLM v2 8B (open weights).