LLM EU
Izbornik

EmbeddingGemma 300M

Google DeepMind

Samo katalog Otvoreni utezi

Suverenost i hosting

Samo katalog

Ovaj je model u katalogu za referencu. Još nije hostan na LLM EU i nijedna vlastita krajnja točka ga ovdje ne poslužuje. Zahtjevi za njega idu izravno pružatelju, prema uvjetima tog pružatelja.

Sažetak

EmbeddingGemma is a 308M-parameter text embedding model with a 768-dimensional output that can be truncated to 512, 256 or 128 dimensions through Matryoshka representation learning. The model card states a maximum input length of 2048 tokens and training data in over 100 spoken languages. It is released under Google’s Gemma terms rather than an OSI licence.

Specifikacije

Pružatelj
Google DeepMind (US)
Kontekstni prozor
2.0k
Parametri
0.3B
Modaliteti
embedding
Licenca
gemma · licence
Otvoreni utezi
yes
Datum izlaska
17. srp 2025.
Zadaci
rag, multilingual-support, private, cheap

Jezici

Jako: en, de, fr, es, it, pt, nl, pl

Zadovoljavajuće: sv, da, fi, cs, ro, el, uk, ru, ar, hi, zh, ja, ko, tr

Jezici

Jako

  • en
  • de
  • fr
  • es
  • it
  • pt
  • nl
  • pl

Zadovoljavajuće

  • sv
  • da
  • fi
  • cs
  • ro
  • el
  • uk
  • ru
  • ar
  • hi
  • zh
  • ja
  • ko
  • tr

Nije provjereno: pružatelj nije dokumentirao ovu tvrdnju. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.

Kada ga koristiti

Prednosti

  • flexible output dimensions for cheaper vector indexes
  • small enough to embed on CPU
  • training data in over 100 languages

Ograničenja

  • 2048-token input limit
  • Gemma terms of use, not an OSI-approved licence
  • no retrieval benchmark has been run by LLM EU