Title: Gemma 4 E4B IT %E2%80%94 gemma-4-e4b-it Canonical: https://llmeu.com/cs/models/gemma-4-e4b-it/ Markdown mirror: https://llmeu.com/cs/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](/cs/providers/google/) Naposledy zkontrolov%C3%A1no: 14. 10. 2026 ## Suverenita a hosting Tento model je uveden v katalogu pro referenci. Zat%C3%ADm nen%C3%AD hostov%C3%A1n na LLM EU a %C5%BE%C3%A1dn%C3%BD endpoint prvn%C3%AD strany zde neposkytuje jeho slu%C5%BEby. Po%C5%BEadavky na n%C4%9Bj sm%C4%9B%C5%99uj%C3%AD p%C5%99%C3%ADmo k poskytovateli, podle jeho vlastn%C3%ADch podm%C3%ADnek. ## Shrnut%C3%AD Gemma 4 E4B IT je nejmen%C5%A1%C3%AD model Gemma 4 s nativn%C3%ADm zvukem, kter%C3%BD zpracov%C3%A1v%C3%A1 text, obr%C3%A1zky a zvukov%C3%BD vstup s kontextov%C3%BDm oknem 128K token%C5%AF. Google uv%C3%A1d%C3%AD, %C5%BEe %E2%80%9EE%E2%80%9C v E2B a E4B znamen%C3%A1 efektivn%C3%AD parametry a %C5%BEe tyto velikosti pou%C5%BE%C3%ADvaj%C3%AD Per-Layer Embeddings, tak%C5%BEe ulo%C5%BEen%C3%BD model m%C3%A1 asi 8B parametr%C5%AF, zat%C3%ADmco efektivn%C3%AD po%C4%8Det je men%C5%A1%C3%AD. Karta modelu uv%C3%A1d%C3%AD 69,4 % na MMLU Pro a 58,6 % na GPQA Diamond a je licencov%C3%A1n pod Apache-2.0. ## Specifikace - Poskytovatel Google DeepMind (US) - Kontextov%C3%A9 okno 131k - Parametry 8B - Modality text, vision, audio - Licence apache-2.0 %C2%B7 [licence](https://ai.google.dev/gemma/docs/gemma_4_license) - Otev%C5%99en%C3%A9 v%C3%A1hy yes - Datum vyd%C3%A1n%C3%AD 02. 3. 2026 - %C3%9Alohy [N%C3%ADzk%C3%A9 n%C3%A1klady](/cs/tasks/cheap/), [Zpracov%C3%A1n%C3%AD obrazu](/cs/tasks/vision/), [V%C3%ADcejazy%C4%8Dn%C3%A1 podpora](/cs/tasks/multilingual-support/), [Shrnut%C3%AD](/cs/tasks/summarization/) ## Jazyky **Siln%C3%A1:** en, de, fr, es, it, pt **Dostate%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 #### Dostate%C4%8Dn%C3%A1 - nl - pl - sv - cs - ro - el - uk - ru - ar - hi - zh - ja - ko - tr Neov%C4%9B%C5%99eno: poskytovatel toto tvrzen%C3%AD nedokumentoval. %E2%80%94 a language is listed as strong only where a source claims it; the card links the evidence where one exists. ## Kdy pou%C5%BE%C3%ADt #### 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 #### Omezen%C3%AD - 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 uveden v katalogu pro referenci. Zat%C3%ADm nen%C3%AD hostov%C3%A1n na LLM EU a %C5%BE%C3%A1dn%C3%BD endpoint prvn%C3%AD strany zde neposkytuje jeho slu%C5%BEby. Po%C5%BEadavky na n%C4%9Bj sm%C4%9B%C5%99uj%C3%AD p%C5%99%C3%ADmo k poskytovateli, podle jeho vlastn%C3%ADch podm%C3%ADnek. ### Stav ov%C4%9B%C5%99en%C3%AD Pokud pole nem%C3%A1 zdroj, karta jej zobraz%C3%AD jako neov%C4%9B%C5%99en%C3%A9, m%C3%ADsto aby jej vyplnila. Pr%C3%A1zdn%C3%A9 pole je informace. LLM EU Verified znamen%C3%A1 zdokumentov%C3%A1no, nikoli pr%C3%A1vn%C4%9B certifikov%C3%A1no. Nejde o posouzen%C3%AD shody podle AI Act a LLM EU nen%C3%AD org%C3%A1nem EU. ### Verze a varianty - catalogue %C2%B7 Pouze katalog %C2%B7 [weights](https://huggingface.co/google/gemma-4-E4B-it) ### P%C5%99%C3%ADklad po%C5%BEadavku ``` 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"}]}' ``` Pro tento model nen%C3%AD nasazen %C5%BE%C3%A1dn%C3%BD playground: %C5%BE%C3%A1dn%C3%BD koncov%C3%BD bod jej neobsluhuje, tak%C5%BEe po%C5%BEadavek by nem%C4%9Bl kam j%C3%ADt. ### 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) ### Historie zm%C4%9Bn karty - 02. 3. 2026 %E2%80%94 Datum vyd%C3%A1n%C3%AD - 14. 10. 2026 %E2%80%94 Naposledy zkontrolov%C3%A1no Naposledy zkontrolov%C3%A1no: 14. 10. 2026 ### %C3%9Alohy - [N%C3%ADzk%C3%A9 n%C3%A1klady](/cs/tasks/cheap/)