Title: Gemma 4 31B IT %E2%80%94 gemma-4-31b-it Canonical: https://llmeu.com/ro/models/gemma-4-31b-it/ Markdown mirror: https://llmeu.com/ro/models/gemma-4-31b-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-4-31B-it https://ai.google.dev/gemma/docs/gemma_4_license # Gemma 4 31B 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 31B (gemma-4-31b-it) este cel mai mare model Gemma 4 ajustat pentru instruc%C8%9Biuni, cu 31.3B parametri sub licen%C8%9Ba Apache-2.0. Accept%C4%83 text %C8%99i imagini pe o fereastr%C4%83 de context de 256K token-uri, iar fi%C8%99a raporteaz%C4%83 85.2% pe MMLU Pro, 84.3% pe GPQA Diamond %C8%99i 88.4% pe MMMLU, toate raportate de furnizor; servirea acestuia la BF16 necesit%C4%83 un accelerator cu memorie mare. ## Specifica%C8%9Bii - Furnizor Google DeepMind (US) - Fereastr%C4%83 de context 262k - Parametri 31.27B - Modalit%C4%83%C8%9Bi text, vision - 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 11 mar. 2026 - Sarcini [Viziune](/ro/tasks/vision/), [Ra%C8%9Bionament](/ro/tasks/reasoning/), [Suport multilingv](/ro/tasks/multilingual-support/), [Codare](/ro/tasks/coding/), [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 - Apache-2.0 licence, unlike earlier Gemma generations - 256K-token context window - text and image input with variable resolution - vendor reports multilingual coverage in over 140 languages #### Limit%C4%83ri - all published scores are self-reported by the vendor - 31B parameters need a large-memory accelerator at BF16 - no evaluation has been run by LLM EU ## %C3%8Entreb%C4%83ri frecvente ### Is Gemma 4 31B 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 31B IT released? Gemma 4 31B 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 31B IT, and what context window does it have? Gemma 4 31B IT is recorded at 31.3B (safetensors total 31,273,088,876) (source: https://huggingface.co/api/models/google/gemma-4-31B-it), with a context window of 262144 tokens (source: https://huggingface.co/google/gemma-4-31B-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-4-31B-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-4-31b-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: **85.2% (vendor-reported)** [source](https://huggingface.co/google/gemma-4-31B-it) - GPQA Diamond: **84.3% (vendor-reported)** [source](https://huggingface.co/google/gemma-4-31B-it) - AIME 2026, no tools: **89.2% (vendor-reported)** [source](https://huggingface.co/google/gemma-4-31B-it) - LiveCodeBench v6: **80.0% (vendor-reported)** [source](https://huggingface.co/google/gemma-4-31B-it) - MMMLU (multilingual MMLU): **88.4% (vendor-reported)** [source](https://huggingface.co/google/gemma-4-31B-it) ### Surse - [huggingface.co](https://huggingface.co/google/gemma-4-31B-it) - [ai.google.dev](https://ai.google.dev/gemma/docs/gemma_4_license) ### Istoric modific%C4%83ri fi%C8%99%C4%83 - 11 mar. 2026 %E2%80%94 Data lans%C4%83rii - 14 oct. 2026 %E2%80%94 Ultima revizuire Ultima revizuire: 14 oct. 2026 ### Sarcini - [Viziune](/ro/tasks/vision/) - [Sumarizare](/ro/tasks/summarization/)