{"id":167258,"date":"2026-04-03T05:11:55","date_gmt":"2026-04-03T03:11:56","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/google-vypustil-otkrytuyu-ai-model-gemma-4-postroennuyu-na-tehnologiyah-gemini-3"},"modified":"2026-04-03T05:11:55","modified_gmt":"2026-04-03T03:11:56","slug":"google-vypustil-otkrytuyu-ai-model-gemma-4-postroennuyu-na-tehnologiyah-gemini-3","status":"publish","type":"post","link":"https:\/\/prohoster.info\/et\/blog\/news\/google-vypustil-otkrytuyu-ai-model-gemma-4-postroennuyu-na-tehnologiyah-gemini-3","title":{"rendered":"Google on v\u00e4lja lasknud avatud AI mudeli Gemma 4, mis on loodud Gemini 3 tehnoloogiatel.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Google on avaldanud uue suure keelemudelite perekonna Gemma 4, mis p\u00f5hinevad Gemini 3 mudeli tehnoloogiatel. Gemma 4 levitatakse Apache litsentsi alusel variantides, kus on 2,3, 4,5, 25,2 ja 30,7 miljardit parameetrit (E2B, E4B, 31B ja 26B A4B). Variantide E2B ja E4B puhul on need sobivad nutitelefonide, asjade interneti (IoT) s\u00fcsteemide ja Raspberry Pi t\u00fc\u00fcpi plaatide jaoks, samas kui teised variandid on rakendatavad t\u00f6\u00f6lauakatsetes ja tarbijate GPU s\u00fcsteemides. Mudeli konteksti suurus on 128 tuhat tokenit mudelite E2B ja E4B puhul ning 256 tuhat tokenit mudelite 31B ja 26B A4B puhul. <\/p>\n

Mudelid on mitmekeelsed ja mitmeotstarbelised: see toetab 35 keelt, samas kui koolituses on kasutatud \u00fcle 140 keele, ning sisendina saab t\u00f6\u00f6delda nii teksti kui ka pilte (mudelid E2B ja E4B toetavad t\u00e4iendavalt heli t\u00f6\u00f6tlemist). Mudel 26B A4B p\u00f5hineb MoE (Mixture-of-Experts) arhitektuuril, kus mudel on jagatud ekspertide v\u00f5rkude seeriaks (vastuse genereerimise ajal saab kasutada ainult 3,8 miljardit parameetrit, kuid kiirus on oluliselt k\u00f5rgem kui klassikalistel suuretel mudelitel), samas kui teised variandid kasutavad klassikalist monoliitset arhitektuuri. <\/p>\n

Mudelid toetavad arutlusi ja kohandatavaid m\u00f5tlemisre\u017eiime, toetavad s\u00fcsteemi rolli (System Role), et t\u00f6\u00f6delda juhiseid (reegleid, piiranguid) eraldi andmetest. Mudeleid saab kasutada koodi kirjutamiseks, objektide tuvastamiseks piltidel, kaadrikaadrid video anal\u00fc\u00fcsimiseks, dokumentide ja PDF-de lahtihakkamiseks, tr\u00fckitud ja k\u00e4sitsi kirjutatud teksti (OCR) optiliseks tuvastamiseks, k\u00f5netuvastamiseks ja t\u00f5lkimiseks keelte vahel. On v\u00f5imalik kasutada neid iseseisvate agentidena, mis suhtlevad erinevate t\u00f6\u00f6riistade ja API-dega. <\/p>\n

Enamikes testides on Gemma 4 seeria mudelid oluliselt \u00fcletanud Gemma 3 mudeli, millel on 27 miljardit parameetrit. Gemma 4 toetab kasutamist koos t\u00f6\u00f6riistade ja raamatukogudega nagu LiteRT-LM, vLLM, llama.cpp, MLX, Ollama, NVIDIA NIM ja NeMo, LM Studio, Unsloth, SGLang, Cactus, Basetan, MaxText, Tunix ja Keras.

\"Google<\/center>
\"Google<\/center>
\n
Allikas: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b\u0430 \u043d\u043e\u0432\u043e\u0435 \u0441\u0435\u043c\u0435\u0439\u0441\u0442\u0432\u043e \u0431\u043e\u043b\u044c\u0448\u0438\u0445 \u044f\u0437\u044b\u043a\u043e\u0432\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 Gemma 4, \u043e\u0441\u043d\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u043d\u0430 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u044f\u0445 \u043c\u043e\u0434\u0435\u043b\u0438 Gemini 3. Gemma 4 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 Apache \u0432 \u0432\u0430\u0440\u0438\u0430\u043d\u0442\u0430\u0445 \u0441 2.3, 4.5, 25.2 \u0438 30.7 \u043c\u0438\u043b\u043b\u0438\u0430\u0440\u0434\u0430\u043c\u0438 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u043e\u0432 (E2B, E4B, 31B \u0438 26B A4B). \u0412\u0430\u0440\u0438\u0430\u043d\u0442\u044b E2B \u0438 E4B \u043f\u043e\u0434\u0445\u043e\u0434\u044f\u0442 \u0434\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u043d\u0430 \u043c\u043e\u0431\u0438\u043b\u044c\u043d\u044b\u0445 \u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432\u0430\u0445, \u0441\u0438\u0441\u0442\u0435\u043c\u0430\u0445 \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442\u0430 \u0432\u0435\u0449\u0435\u0439 (IoT) \u0438 \u043f\u043b\u0430\u0442\u0430\u0445 \u0442\u0438\u043f\u0430 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":8,"featured_media":167259,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-167258","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Google on v\u00e4lja andnud avatud AI mudeli Gemma 4, mis on loodud Gemini 3 tehnoloogiate p\u00f5hjal | ProHoster","description":"Google on avaldanud uue suure keelemudelite perekonna Gemma 4, mis p\u00f5hinevad Gemini 3 mudeli 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