{"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\/novosti-interneta\/google-vypustil-otkrytuyu-ai-model-gemma-4-postroennuyu-na-tehnologiyah-gemini-3","title":{"rendered":"Google vabastas avatud AI mudeli Gemma 4, mis on loodud Gemini 3 tehnoloogiatele","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Ettev\u00f5te Google avaldas uue suure keelemudelite perekonna Gemma 4, mis p\u00f5hinevad Gemini 3 mudeli tehnoloogial. Gemma 4 levitatakse Apache'i litsentsi alusel versioonides 2.3, 4.5, 25.2 ja 30.7 miljardi parameetriga (E2B, E4B, 31B ja 26B A4B). Variant E2B ja E4B sobivad kasutamiseks mobiilseadmetes, asjade interneti (IoT) s\u00fcsteemides ja Raspberry Pi t\u00fc\u00fcpi plaatidel, samas kui teised variandid on sobivad t\u00f6\u00f6jaamade ja tarbijate GPU-dega s\u00fcsteemide jaoks. Mudeli konteksti suurus on 128 tuhat tokenit mudelite E2B ja E4B jaoks ning 256 tuhat tokenit mudelite 31B ja 26B A4B jaoks. <\/p>\n

Mitmekeelsed ja multimodaalsed mudelid: toote kohapeal toetatakse 35 keelt (koolitamisel on kasutatud enam kui 140 keelt), ning sisendina saab t\u00f6\u00f6delda teksti ja pilte (mudelid E2B ja E4B toetavad lisaks ka heli t\u00f6\u00f6tlemist). Mudel 26B A4B p\u00f5hineb MoE (Expertide Segamine) arhitektuuril, kus mudel jaotatakse rida ekspertnettideks (vastuse genereerimisel saab kasutada vaid 3,8 miljardit parameetrit, kuid kiirus on oluliselt k\u00f5rgem kui klassikalistel suurte mudelite puhul), samas kui \u00fclej\u00e4\u00e4nud variandid kasutavad klassikalist monoliitset arhitektuuri. <\/p>\n

Mudelid toetavad arutlemist ja kohandatavaid m\u00f5tlemise re\u017eiime, toetavad s\u00fcsteemset rolli (System Role) juhiste (reeglite, piirangute) t\u00f6\u00f6tlemiseks eraldi andmetest. Mudelid v\u00f5ivad olla kasutusel koodi kirjutamiseks, objektide tuvastamiseks piltidel, kaadrid-kaadrilt videote anal\u00fc\u00fcsimiseks, dokumentide ja PDF-de l\u00e4bi t\u00f6\u00f6tamiseks, tr\u00fckitud ja k\u00e4sitsi kirjutatud teksti optiliseks tuvastamiseks (OCR), k\u00f5netuvastamiseks ja keelte vaheliseks t\u00f5lkimiseks. Neid on v\u00f5imalik kasutada autonoomsete agentidena, kes suhtlevad erinevate t\u00f6\u00f6riistade ja API-dega. <\/p>\n

Enamikus testides on Gemma 4 seeria mudelid oluliselt \u00fcletanud Gemma 3 mudelit, 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-novosti-interneta"],"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 vabastas avatud AI mudeli Gemma 4, mis on loodud Gemini 3 tehnoloogiate p\u00f5hjal | ProHoster","description":"Ettev\u00f5te Google avaldas uue suure keelemudelite pere, Gemma 4, mis p\u00f5hinevad Gemini 3 mudelite tehnoloogial. Gemma 4 levitatakse Apache litsentsi all variantides, millel on 2,3, 4,5, 25,2 ja 30,7 miljardit parameetrit (E2B, E4B, 31B ja 26B A4B). E2B ja E4B variandid sobivad kasutamiseks mobiilseadmetes, IoT s\u00fcsteemides ja laudadel.","canonical_url":"https:\/\/prohoster.info\/et\/blog\/novosti-interneta\/google-vypustil-otkrytuyu-ai-model-gemma-4-postroennuyu-na-tehnologiyah-gemini-3","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"et_EE","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47Google \u0432\u044b\u043f\u0443\u0441\u0442\u0438\u043b \u043e\u0442\u043a\u0440\u044b\u0442\u0443\u044e AI-\u043c\u043e\u0434\u0435\u043b\u044c Gemma 4, \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u0443\u044e \u043d\u0430 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u044f\u0445 Gemini 3 | ProHoster","og:description":"\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. 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