{"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\/ro\/blog\/news\/google-vypustil-otkrytuyu-ai-model-gemma-4-postroennuyu-na-tehnologiyah-gemini-3","title":{"rendered":"Google a lansat modelul AI deschis Gemma 4, construit pe tehnologii Gemini 3","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Compania Google a lansat o nou\u0103 familie de modele mari de limbaj Gemma 4, bazate pe tehnologia modelului Gemini 3. Gemma 4 este disponibil\u0103 sub licen\u021ba Apache \u00een variante de 2,3, 4,5, 25,2 \u0219i 30,7 miliarde de parametri (E2B, E4B, 31B \u0219i 26B A4B). Variantele E2B \u0219i E4B sunt potrivite pentru utilizarea pe dispozitive mobile, sisteme de Internet of Things (IoT) \u0219i pl\u0103ci de tip Raspberry Pi, iar celelalte variante sunt adecvate pentru utilizarea pe sta\u021bii de lucru \u0219i sisteme cu GPU-uri consumator. Dimensiunea contextului considerat de model este de 128 de mii de tokeni pentru modelele E2B \u0219i E4B \u0219i 256 de mii de tokeni pentru modelele 31B \u0219i 26B A4B. <\/p>\n

Modelele sunt multilingve \u0219i multimodale: din cutie, suport\u0103 35 de limbi (la antrenament au fost utilizate peste 140 de limbi), iar la intrare pot procesa text \u0219i imagini (modelele E2B \u0219i E4B suport\u0103 suplimentar procesarea sunetului). Modelul 26B A4B se bazeaz\u0103 pe arhitectura MoE (Mixture-of-Experts), \u00een care modelul este \u00eemp\u0103r\u021bit \u00eentr-o serie de re\u021bele expert (\u00een generarea r\u0103spunsului pot fi utilizate doar 3,8 miliarde de parametri, dar viteza este semnificativ mai mare comparativ cu modelele mari clasice), iar celelalte variante utilizeaz\u0103 o arhitectur\u0103 clasic\u0103 monolitic\u0103. <\/p>\n

Modelele sus\u021bin ra\u021bionamente \u0219i moduri de g\u00e2ndire personalizabile, sus\u021bin rolul sistemului (System Role) pentru a procesa instruc\u021biuni (reguli, restric\u021bii) separat de date. Modelele pot fi utilizate pentru scrierea de cod, recunoa\u0219terea obiectelor \u00een imagini, analiza video pe cadre, parsing de documente \u0219i PDF-uri, recunoa\u0219tere optic\u0103 a textului tip\u0103rit \u0219i scris (OCR), recunoa\u0219terea vorbirii \u0219i traducerea \u00eentre limbi. Este posibil s\u0103 fie utilizate ca agen\u021bi autonomi, interac\u021bion\u00e2nd cu diverse instrumente \u0219i API-uri. <\/p>\n

\u00cen majoritatea testelor, modelele din seria Gemma 4 au dep\u0103\u0219it semnificativ modelul Gemma 3 cu 27 de miliarde de parametri. Se suport\u0103 utilizarea Gemma 4 cu instrumentele \u0219i bibliotecile LiteRT-LM, vLLM, llama.cpp, MLX, Ollama, NVIDIA NIM \u0219i NeMo, LM Studio, Unsloth, SGLang, Cactus, Basetan, MaxText, Tunix \u0219i Keras.

\"Google<\/center>
\"Google<\/center>
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Sursa: opennet.ro<\/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 a lansat modelul AI deschis Gemma 4, bazat pe tehnologia Gemini 3 | ProHoster","description":"Compania Google a lansat o nou\u0103 familie de modele mari de limbaj Gemma 4, bazate pe tehnologia modelului 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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