Title: Gemma 4 E4B IT %E2%80%94 gemma-4-e4b-it Canonical: https://llmeu.com/ro/models/gemma-4-e4b-it/ Markdown mirror: https://llmeu.com/ro/models/gemma-4-e4b-it.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: apache-2.0 Hosting: catalogue only %E2%80%94 not hosted on LLM EU yet Sources: https://huggingface.co/google/gemma-4-E4B-it # Gemma 4 E4B IT [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 Gemma 4 E4B IT este cel mai mic model Gemma 4 cu audio nativ, gestion%C3%A2nd intr%C4%83ri text, imagine %C8%99i audio cu o fereastr%C4%83 de context de 128K tokeni. Google afirm%C4%83 c%C4%83 %E2%80%9EE%E2%80%9D din E2B %C8%99i E4B %C3%AEnseamn%C4%83 parametri efectivi %C8%99i c%C4%83 aceste dimensiuni utilizeaz%C4%83 Per-Layer Embeddings, astfel %C3%AEnc%C3%A2t modelul stocat are aproximativ 8B parametri, %C3%AEn timp ce num%C4%83rul efectiv este mai mic. Fi%C8%99a modelului raporteaz%C4%83 69.4% pe MMLU Pro %C8%99i 58.6% pe GPQA Diamond, %C8%99i este licen%C8%9Biat sub Apache-2.0. ## Specifica%C8%9Bii - Furnizor Google DeepMind (US) - Fereastr%C4%83 de context 131k - Parametri 8B - Modalit%C4%83%C8%9Bi text, vision, audio - Licen%C8%9B%C4%83 apache-2.0 %C2%B7 [licence](https://ai.google.dev/gemma/docs/gemma_4_license) - Ponderi deschise yes - Data lans%C4%83rii 02 mar. 2026 - Sarcini [Cost redus](/ro/tasks/cheap/), [Viziune](/ro/tasks/vision/), [Suport multilingv](/ro/tasks/multilingual-support/), [Sumarizare](/ro/tasks/summarization/) ## Limbi **Puternic:** en, de, fr, es, it, pt **Adecvat:** nl, pl, sv, cs, ro, el, uk, ru, ar, hi, zh, ja, ko, tr #### Puternic - en - de - fr - es - it - pt #### Adecvat - nl - pl - sv - 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 - native audio input in the small-model class - Apache-2.0 licence - runs on modest hardware - text, image and audio in one checkpoint #### Limit%C4%83ri - reasoning scores well below the larger Gemma 4 sizes - 128K-token window, half of the medium models - no evaluation has been run by LLM EU ## %C3%8Entreb%C4%83ri frecvente ### Is Gemma 4 E4B IT 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 Gemma 4 E4B IT released? Gemma 4 E4B IT is recorded under apache-2.0. The recorded licence text is https://ai.google.dev/gemma/docs/gemma_4_license. 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 Gemma 4 E4B IT, and what context window does it have? Gemma 4 E4B IT is recorded at about 8B stored (safetensors total 7,996,156,490); the card states that "E" in E2B and E4B stands for effective parameters, using Per-Layer Embeddings (source: https://huggingface.co/api/models/google/gemma-4-E4B-it), with a context window of 131072 tokens (source: https://huggingface.co/google/gemma-4-E4B-it). ### 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/gemma-4-E4B-it) ### Exemplu de cerere ``` curl https://api.llmeu.com/v1/chat/completions \ -H "Authorization: Bearer $LLMEU_API_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"gemma-4-e4b-it","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 - MMLU Pro: **69.4% (vendor-reported)** [source](https://huggingface.co/google/gemma-4-E4B-it) - AIME 2026, no tools: **42.5% (vendor-reported)** [source](https://huggingface.co/google/gemma-4-E4B-it) - GPQA Diamond: **58.6% (vendor-reported)** [source](https://huggingface.co/google/gemma-4-E4B-it) ### Surse - [huggingface.co](https://huggingface.co/google/gemma-4-E4B-it) ### Istoric modific%C4%83ri fi%C8%99%C4%83 - 02 mar. 2026 %E2%80%94 Data lans%C4%83rii - 14 oct. 2026 %E2%80%94 Ultima revizuire Ultima revizuire: 14 oct. 2026 ### Sarcini - [Cost redus](/ro/tasks/cheap/)