Title: Gemma 4 E4B IT %E2%80%94 gemma-4-e4b-it Canonical: https://llmeu.com/sk/models/gemma-4-e4b-it/ Markdown mirror: https://llmeu.com/sk/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](/sk/providers/google/) Naposledy skontrolovan%C3%A9: 14. 10. 2026 ## Suverenita a hosting Tento model je v katal%C3%B3gu len pre referenciu. Zatia%C4%BE nie je hostovan%C3%BD na LLM EU a %C5%BEiadny koncov%C3%BD bod prvej strany ho tu neobsluhuje. Po%C5%BEiadavky na%C5%88 smeruj%C3%BA priamo k poskytovate%C4%BEovi, pod%C4%BEa jeho vlastn%C3%BDch podmienok. ## Zhrnutie Gemma 4 E4B IT je najmen%C5%A1%C3%AD model Gemma 4 s nat%C3%ADvnym zvukom, ktor%C3%BD spracov%C3%A1va text, obr%C3%A1zky a zvukov%C3%BD vstup s kontextov%C3%BDm oknom 128K tokenov. Google uv%C3%A1dza, %C5%BEe %E2%80%9EE%E2%80%9C v E2B a E4B znamen%C3%A1 efekt%C3%ADvne parametre a %C5%BEe tieto ve%C4%BEkosti pou%C5%BE%C3%ADvaj%C3%BA Per-Layer Embeddings, tak%C5%BEe ulo%C5%BEen%C3%BD model m%C3%A1 pribli%C5%BEne 8B parametrov, zatia%C4%BE %C4%8Do efekt%C3%ADvny po%C4%8Det je men%C5%A1%C3%AD. Karta modelu uv%C3%A1dza 69,4 % na MMLU Pro a 58,6 % na GPQA Diamond a je licencovan%C3%A1 pod Apache-2.0. ## %C5%A0pecifik%C3%A1cie - Poskytovate%C4%BE Google DeepMind (US) - Kontextov%C3%A9 okno 131k - Parametre 8B - Modalit%C3%A1 text, vision, audio - Licencia apache-2.0 %C2%B7 [licence](https://ai.google.dev/gemma/docs/gemma_4_license) - Otvoren%C3%A9 v%C3%A1hy yes - D%C3%A1tum vydania 02. 3. 2026 - %C3%9Alohy [N%C3%ADzke n%C3%A1klady](/sk/tasks/cheap/), [Videnie](/sk/tasks/vision/), [Viacjazy%C4%8Dn%C3%A1 podpora](/sk/tasks/multilingual-support/), [Zhrnutie](/sk/tasks/summarization/) ## Jazyky **Siln%C3%A1:** en, de, fr, es, it, pt **Dostato%C4%8Dn%C3%A1:** nl, pl, sv, cs, ro, el, uk, ru, ar, hi, zh, ja, ko, tr #### Siln%C3%A1 - en - de - fr - es - it - pt #### Dostato%C4%8Dn%C3%A1 - nl - pl - sv - cs - ro - el - uk - ru - ar - hi - zh - ja - ko - tr Neoveren%C3%A9: poskytovate%C4%BE tento %C3%BAdaj nedokumentoval. %E2%80%94 a language is listed as strong only where a source claims it; the card links the evidence where one exists. ## Kedy ho pou%C5%BEi%C5%A5 #### Siln%C3%A9 str%C3%A1nky - native audio input in the small-model class - Apache-2.0 licence - runs on modest hardware - text, image and audio in one checkpoint #### Obmedzenia - 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 ## %C4%8Casto kladen%C3%A9 ot%C3%A1zky ### 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). ### Ceny Tento model je v katal%C3%B3gu len pre referenciu. Zatia%C4%BE nie je hostovan%C3%BD na LLM EU a %C5%BEiadny koncov%C3%BD bod prvej strany ho tu neobsluhuje. Po%C5%BEiadavky na%C5%88 smeruj%C3%BA priamo k poskytovate%C4%BEovi, pod%C4%BEa jeho vlastn%C3%BDch podmienok. ### Stav overenia Ak pole nem%C3%A1 zdroj, karta ho zobraz%C3%AD ako neoveren%C3%A9, namiesto toho, aby ho vyplnila. Pr%C3%A1zdne pole je inform%C3%A1cia. LLM EU Verified znamen%C3%A1 zdokumentovan%C3%A9, nie pr%C3%A1vne certifikovan%C3%A9. Nie je to pos%C3%BAdenie zhody pod%C4%BEa AI Act a LLM EU nie je org%C3%A1n E%C3%9A. ### Verzie a varianty - catalogue %C2%B7 Iba v katal%C3%B3gu %C2%B7 [weights](https://huggingface.co/google/gemma-4-E4B-it) ### Pr%C3%ADklad po%C5%BEiadavky ``` 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"}]}' ``` Pre tento model nie je nasaden%C3%BD %C5%BEiadny playground: neobsluhuje ho %C5%BEiadny koncov%C3%BD bod, tak%C5%BEe po%C5%BEiadavka by nemala kam %C3%ADs%C5%A5. ### Benchmarky - 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) ### Zdroje - [huggingface.co](https://huggingface.co/google/gemma-4-E4B-it) ### Zmeny karty - 02. 3. 2026 %E2%80%94 D%C3%A1tum vydania - 14. 10. 2026 %E2%80%94 Naposledy skontrolovan%C3%A9 Naposledy skontrolovan%C3%A9: 14. 10. 2026 ### %C3%9Alohy - [N%C3%ADzke n%C3%A1klady](/sk/tasks/cheap/)