Ruri v3 130M measured on 7 of 261 Embeddings benchmarks7
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
78.7JMTEB v2
Apr 2025released
512Dimensions
8K tokensMax input
jaLanguages
Alternatives?
ModelScoreCostPriceWhat changes
sBetterComsat Embed Ja 8B PreviewOpen+7%——Memory (4-bit): 0.1 GB → 4.5 GBcBetterF2LLM v2 14BunstatedOpen+4%——Memory (4-bit): 0.1 GB → 8.4 GBcBetterF2LLM v2 8BunstatedOpen+3%——Memory (4-bit): 0.1 GB → 4.5 GBsOpenComsat Embed Ja 0.3B Preview+2%——Memory (4-bit): 0.1 GB → 0.2 GBcOpenF2LLM v2 4Bunstatedsame——Memory (4-bit): 0.1 GB → 2.4 GBModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
sComsat Embed Ja 8B PreviewOpen+7%——Memory (4-bit): 0.1 GB → 4.5 GBcF2LLM v2 14BunstatedOpen+4%——Memory (4-bit): 0.1 GB → 8.4 GBcF2LLM v2 8BunstatedOpen+3%——Memory (4-bit): 0.1 GB → 4.5 GBModelScoreCostPriceWhat changes
sComsat Embed Ja 8B PreviewOpen+7%——Memory (4-bit): 0.1 GB → 4.5 GBcF2LLM v2 8BunstatedOpen+3%——Memory (4-bit): 0.1 GB → 4.5 GBsComsat Embed Ja 0.3B PreviewOpen+2%——Memory (4-bit): 0.1 GB → 0.2 GBcF2LLM v2 4BunstatedOpensame——Memory (4-bit): 0.1 GB → 2.4 GBsSarashina Embedding v2 1BOpensame——Memory (4-bit): 0.1 GB → 0.7 GBModelScoreCostPriceWhat changes
cRuri v3 310MOpensame——Memory (4-bit): 0.1 GB → 0.2 GBcRuri v3 70MOpen-2%——cRuri v3 30MOpen-4%——cRuri Large v2Open-5%——Max input: 8K tokens → 1K tokens+1cRuri Base v2Open-8%——Max input: 8K tokens → 1K tokenscRuri LargeOpen-11%——Max input: 8K tokens → 1K tokens+1cRuri BaseOpen-14%——Max input: 8K tokens → 1K tokensAll cl-nagoya 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 & RetrievalJMTEB v2 · STS · Japanese78.7#55
FAQ
How much does Ruri v3 130M cost?›
There is no per-unit API price: self-host only.
Is Ruri v3 130M free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is Ruri v3 130M, and what is it best at?›
#55 of 164 in Embeddings.
Is Ruri v3 130M better than Sarashina Embedding v2 1B?›
On JMTEB v2 · Retrieval · Japanese, Ruri v3 130M scores 76.4 vs 76.6 — about the same.
When was Ruri v3 130M released? Is there a newer version?›
Released 2025-04-09. It is the current version in its line.
Is Ruri v3 130M open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Ruri v3 130M locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Ruri v3 130M?›
Ruri v3 130M is an open-weights embeddings & retrieval model from cl-nagoya, released Apr 2025.
What are the best alternatives to Ruri v3 130M?›
Comsat Embed Ja 8B Preview (better).