EmbeddingGemma 300M
Suverenost in gostovanje
Ta model je v katalogu za referenco. Na LLM EU še ni gostovan in nobena lastna končna točka ga tukaj ne streže. Zahteve zanj gredo neposredno k ponudniku, pod lastnimi pogoji tega ponudnika.
Povzetek
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
- Ponudnik
- Google DeepMind (US)
- Kontekstno okno
- 2.0k
- Parametri
- 0.3B
- Modalnosti
- embedding
- Licenca
- gemma · licence
- Odprte uteži
- yes
- Datum izdaje
- 17. jul. 2025
- Naloge
- rag, multilingual-support, private, cheap
Jeziki
Močno: en, de, fr, es, it, pt, nl, pl
Zadostno: sv, da, fi, cs, ro, el, uk, ru, ar, hi, zh, ja, ko, tr
Jeziki
Močno
- en
- de
- fr
- es
- it
- pt
- nl
- pl
Zadostno
- sv
- da
- fi
- cs
- ro
- el
- uk
- ru
- ar
- hi
- zh
- ja
- ko
- tr
Ni preverjeno: ponudnik te trditve ni dokumentiral. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.
Kdaj ga uporabiti
Prednosti
- flexible output dimensions for cheaper vector indexes
- small enough to embed on CPU
- training data in over 100 languages
Omejitve
- 2048-token input limit
- Gemma terms of use, not an OSI-approved licence
- no retrieval benchmark has been run by LLM EU