Title: EmbeddingGemma 300M %E2%80%94 embeddinggemma-300m Canonical: https://llmeu.com/ro/models/embeddinggemma-300m/ Markdown mirror: https://llmeu.com/ro/models/embeddinggemma-300m.md Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json Provider: Google DeepMind Licence: gemma Hosting: catalogue only %E2%80%94 not hosted on LLM EU yet Sources: https://huggingface.co/google/embeddinggemma-300m https://arxiv.org/abs/2509.20354 # EmbeddingGemma 300M [Google DeepMind](/ro/providers/google/) Ultima revizuire: 14 oct. 2026 ## Suveranitate %C8%99i g%C4%83zduire Acest model este catalogat ca referin%C8%9B%C4%83. Nu este g%C4%83zduit %C3%AEnc%C4%83 pe LLM EU %C8%99i niciun endpoint propriu nu %C3%AEl serve%C8%99te aici. Cererile c%C4%83tre el merg direct la furnizor, conform termenilor acelui furnizor. ## Rezumat EmbeddingGemma este un model de %C3%AEncorporare a textului cu 308M parametri, cu o ie%C8%99ire de 768 de dimensiuni care poate fi trunchiat%C4%83 la 512, 256 sau 128 de dimensiuni prin %C3%AEnv%C4%83%C8%9Bare de reprezentare Matryoshka. Fi%C8%99a modelului indic%C4%83 o lungime maxim%C4%83 de intrare de 2048 de tokeni %C8%99i date de antrenament %C3%AEn peste 100 de limbi vorbite. Este lansat sub termenii Gemma de la Google, nu sub o licen%C8%9B%C4%83 OSI. ## Specifica%C8%9Bii - Furnizor Google DeepMind (US) - Fereastr%C4%83 de context 2.0k - Parametri 0.3B - Modalit%C4%83%C8%9Bi embedding - Licen%C8%9B%C4%83 gemma %C2%B7 [licence](https://ai.google.dev/gemma/terms) - Ponderi deschise yes - Data lans%C4%83rii 17 iul. 2025 - Sarcini [Reg%C4%83sire (RAG)](/ro/tasks/rag/), [Suport multilingv](/ro/tasks/multilingual-support/), [Date sensibile](/ro/tasks/private/), [Cost redus](/ro/tasks/cheap/) ## Limbi **Puternic:** en, de, fr, es, it, pt, nl, pl **Adecvat:** sv, da, fi, cs, ro, el, uk, ru, ar, hi, zh, ja, ko, tr #### Puternic - en - de - fr - es - it - pt - nl - pl #### Adecvat - sv - da - fi - cs - ro - el - uk - ru - ar - hi - zh - ja - ko - tr Neverificat: furnizorul nu a documentat aceast%C4%83 afirma%C8%9Bie. %E2%80%94 a language is listed as strong only where a source claims it; the card links the evidence where one exists. ## C%C3%A2nd se folose%C8%99te #### Puncte forte - flexible output dimensions for cheaper vector indexes - small enough to embed on CPU - training data in over 100 languages #### Limit%C4%83ri - 2048-token input limit - Gemma terms of use, not an OSI-approved licence - no retrieval benchmark has been run by LLM EU ## %C3%8Entreb%C4%83ri frecvente ### Is EmbeddingGemma 300M served on LLM EU? It has no endpoint in the catalogue, so it is catalogue only %E2%80%94 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). ### Pre%C8%9Buri Acest model este catalogat ca referin%C8%9B%C4%83. Nu este g%C4%83zduit %C3%AEnc%C4%83 pe LLM EU %C8%99i niciun endpoint propriu nu %C3%AEl serve%C8%99te aici. Cererile c%C4%83tre el merg direct la furnizor, conform termenilor acelui furnizor. ### Stare de verificare Acolo unde un c%C3%A2mp nu are surs%C4%83, cardul %C3%AEl afi%C8%99eaz%C4%83 ca neverificat %C3%AEn loc s%C4%83 %C3%AEl completeze. Un c%C3%A2mp gol este informa%C8%9Bie. LLM EU Verified %C3%AEnseamn%C4%83 documentat, nu certificat legal. Nu este o evaluare a conformit%C4%83%C8%9Bii cu AI Act %C8%99i LLM EU nu este un organism al UE. ### Versiuni %C8%99i variante - catalogue %C2%B7 Doar %C3%AEn catalog %C2%B7 [weights](https://huggingface.co/google/embeddinggemma-300m) ### Exemplu de cerere ``` curl https://api.llmeu.com/v1/chat/completions \ -H "Authorization: Bearer $LLMEU_API_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"embeddinggemma-300m","messages":[{"role":"user","content":"Hello"}]}' ``` Nu exist%C4%83 un playground implementat pentru acest model: niciun punct final nu %C3%AEl serve%C8%99te, a%C8%99a c%C4%83 o cerere nu ar avea unde s%C4%83 ajung%C4%83. ### Benchmark-uri Nicio evaluare publicat%C4%83. Aceasta este o lacun%C4%83, nu un rezultat ascuns. ### Surse - [huggingface.co](https://huggingface.co/google/embeddinggemma-300m) - [arxiv.org](https://arxiv.org/abs/2509.20354) ### Istoric modific%C4%83ri fi%C8%99%C4%83 - 17 iul. 2025 %E2%80%94 Data lans%C4%83rii - 14 oct. 2026 %E2%80%94 Ultima revizuire Ultima revizuire: 14 oct. 2026 ### Sarcini - [Reg%C4%83sire (RAG)](/ro/tasks/rag/)