EmbeddingGemma 300M
Posljednji pregled:
Suverenost i hosting
Ovaj model je u katalogu za referencu. Još nije hostan na LLM EU i nijedan endpoint prvog lica ga ovdje ne poslužuje. Zahtjevi za njega idu izravno pružatelju, pod uvjetima tog pružatelja.
Sažetak
EmbeddingGemma je model za ugradnju teksta s 308M parametara i 768-dimenzionalnim izlazom koji se može skratiti na 512, 256 ili 128 dimenzija putem Matryoshka reprezentacijskog učenja. Kartica modela navodi maksimalnu ulaznu duljinu od 2048 tokena i podatke za obuku na više od 100 govornih jezika. Objavljen je pod Googleovim Gemma uvjetima, a ne pod OSI licencom.
Specifikacije
- Pružatelj
- Google DeepMind (US)
- Kontekstni prozor
- 2.0k
- Parametri
- 0.3B
- Modaliteti
- embedding
- Licenca
- gemma · licence
- Otvoreni utezi
- yes
- Datum izdanja
- 17. srp 2025.
- Zadaci
- Dohvaćanje (RAG), Višejezična podrška, Osjetljivi podaci, Niska cijena
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
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
Često postavljana pitanja
Is EmbeddingGemma 300M served on LLM EU?
It has no endpoint in the catalogue, so it is catalogue only — not hosted on LLM EU yet, with no region and no retention to report. A card whose status is "listed" is a catalogue entry, not a running deployment.
Under what licence is EmbeddingGemma 300M released?
EmbeddingGemma 300M is recorded under gemma. The recorded licence text is https://ai.google.dev/gemma/terms. The weights are downloadable (open_weights is true). LLM EU republishes the licence id and the link and gives no legal advice; the licence text governs.
How large is EmbeddingGemma 300M, and what context window does it have?
EmbeddingGemma 300M is recorded at 308M (safetensors total 302,863,104) (source: https://huggingface.co/api/models/google/embeddinggemma-300m), with a context window of 2048 tokens (source: https://huggingface.co/google/embeddinggemma-300m).