Rubert Mini Frida measured on 9 of 261 Embeddings benchmarks9
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price not verifiedprice
60.4MTEB Russian v1.1
Mar 2025released
312Dimensions
2K tokensMax input
en, ruLanguages
Alternatives?
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
aGiga Embeddings InstructunstatedOpen+32%——Memory (4-bit): 0 GB → 1.9 GBaGiga Embeddings Instruct 3B 0826unstatedOpen+20%——Memory (4-bit): 0 GB → 1.9 GBaGiga Embeddings Instruct 10B A1.8B 0826unstatedOpen+19%——Memory (4-bit): 0 GB → 6.3 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
LicenceMITfree for commercial use
Benchmarks
in Embeddings & RetrievalFAQ
How much does Rubert Mini Frida cost?›
There is no per-unit API price: price not verified.
How good is Rubert Mini Frida, and what is it best at?›
#37 of 193 in Embeddings.
Is Rubert Mini Frida better than Text Multilingual Embedding 002?›
On MTEB Russian v1.1 · Pair Classification · Russian, Rubert Mini Frida scores 60.4 vs 60.4 — about the same.
When was Rubert Mini Frida released? Is there a newer version?›
Released 2025-03-02. It is the current version in its line.
Is Rubert Mini Frida open source?›
Yes, the weights are open (MIT licence).
Can I run Rubert Mini Frida locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Rubert Mini Frida?›
Rubert Mini Frida is an open-weights embeddings & retrieval model from sergeyzh, released Mar 2025.
What are the best alternatives to Rubert Mini Frida?›
EmbeddingGemma 300M (better), Giga Embeddings Instruct (open weights).