Gemma 4 31B IT
Sovranità u hosting
Dan il-mudell huwa katalogat għal referenza. Mhuwiex ospitat fuq LLM EU bħalissa, u l-ebda endpoint tal-ewwel parti ma jservih hawn. Talbiet lejh imorru direttament għand il-fornitur, taħt it-termini tal-fornitur stess.
Sommarju
Gemma 4 31B IT is the largest instruction-tuned model of Google DeepMind’s Gemma 4 generation, published under Apache-2.0 with a 256K-token context window. It processes text and images with variable resolution and generates text; the vendor states multilingual support in over 140 languages. The model card reports 85.2% on MMLU Pro, 84.3% on GPQA Diamond and 88.4% on MMMLU, all self-reported.
Speċifikazzjonijiet
- Fornitur
- Google DeepMind (US)
- Tieqa tal-kuntest
- 262k
- Parametri
- 31.27B
- Modalitajiet
- text, vision
- Liċenza
- apache-2.0 · licence
- Piżijiet miftuħa
- yes
- Data tal-ħruġ
- 11 Mar 2026
- Kompiti
- vision, reasoning, multilingual-support, coding, summarization
Lingwi
Qawwi: en, de, fr, es, it, pt
Adekwat: nl, pl, sv, cs, ro, el, uk, ru, ar, hi, zh, ja, ko, tr
Lingwi
Qawwi
- en
- de
- fr
- es
- it
- pt
Adekwat
- nl
- pl
- sv
- cs
- ro
- el
- uk
- ru
- ar
- hi
- zh
- ja
- ko
- tr
Mhux verifikat: il-fornitur ma dokumentax din id-dikjarazzjoni. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.
Meta tużaha
Saħħiet
- 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
Limiti
- 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