{"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\/da\/blog\/news\/google-vypustil-otkrytuyu-ai-model-gemma-4-postroennuyu-na-tehnologiyah-gemini-3","title":{"rendered":"Google har udgivet den \u00e5bne AI-model Gemma 4, bygget p\u00e5 Gemini 3-teknologierne","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Google har offentliggjort en ny familie af store sprogmodeller, Gemma 4, baseret p\u00e5 Gemini 3-modellen. Gemma 4 distribueres under Apache-licensen i varianter med 2.3, 4.5, 25.2 og 30.7 milliarder parametre (E2B, E4B, 31B og 26B A4B). Varianterne E2B og E4B er velegnede til brug p\u00e5 mobile enheder, IoT-systemer og Raspberry Pi-boards, mens de \u00f8vrige varianter er gode til brug p\u00e5 arbejdsstationer og systemer med forbrugergrafikkort. Den kontekst, der tages i betragtning af modellen, er 128.000 tokens for E2B- og E4B-modellerne og 256.000 tokens for 31B- og 26B A4B-modellerne. <\/p>\n

Modellerne er flersprogede og multimodale: de underst\u00f8tter 35 sprog ud af boksen (mere end 140 sprog er brugt under tr\u00e6ningen), og de kan p\u00e5 input bearbejde tekst og billeder (E2B- og E4B-modellerne underst\u00f8tter desuden lydbehandling). Modellen 26B A4B er baseret p\u00e5 MoE-arkitekturen (Mixture-of-Experts), hvor modellen opdeles i en r\u00e6kke ekspert-netv\u00e6rk (kun 3.8 milliarder parametre kan anvendes ved generering af svar, men hastigheden er betydeligt h\u00f8jere end klassiske store modeller), mens de \u00f8vrige varianter bruger den klassiske monolitiske arkitektur. <\/p>\n

Modellerne underst\u00f8tter r\u00e6sonnering og konfigurerbare t\u00e6nkemodi, underst\u00f8tter systemrolle (System Role) til behandling af instruktioner (regler, begr\u00e6nsninger) adskilt fra data. Modellerne kan bruges til kodning, genkendelse af objekter p\u00e5 billeder, frame-for-frame analyse af video, dokument- og PDF-parsering, optisk tegngenkendelse (OCR) for trykt og h\u00e5ndskrevet tekst, talegenkendelse og overs\u00e6ttelse mellem sprog. Det er muligt at bruge dem som autonome agenter, der interagerer med forskellige v\u00e6rkt\u00f8jer og API'er. <\/p>\n

I de fleste tests har modellerne i Gemma 4-serien overg\u00e5et Gemma 3-modellen med 27 milliarder parametre. Der underst\u00f8ttes brug af Gemma 4 med v\u00e6rkt\u00f8jerne og bibliotekerne LiteRT-LM, vLLM, llama.cpp, MLX, Ollama, NVIDIA NIM og NeMo, LM Studio, Unsloth, SGLang, Cactus, Basetan, MaxText, Tunix og Keras.

\"Google<\/center>
\"Google<\/center>
\n
Kilde: 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\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 har udgivet den \u00e5bne AI-model Gemma 4, som er baseret p\u00e5 Gemini 3-teknologier | ProHoster","description":"Google har offentliggjort en ny familie af store sprogmodeller, Gemma 4, baseret p\u00e5 Gemini 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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 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