{"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\/pt\/blog\/news\/google-vypustil-otkrytuyu-ai-model-gemma-4-postroennuyu-na-tehnologiyah-gemini-3","title":{"rendered":"O Google lan\u00e7ou o modelo de IA aberto Gemma 4, constru\u00eddo sobre as tecnologias Gemini 3","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

A empresa Google lan\u00e7ou uma nova fam\u00edlia de grandes modelos de linguagem, Gemma 4, baseados nas tecnologias do modelo Gemini 3. A Gemma 4 \u00e9 distribu\u00edda sob a licen\u00e7a Apache nas vers\u00f5es com 2,3, 4,5, 25,2 e 30,7 bilh\u00f5es de par\u00e2metros (E2B, E4B, 31B e 26B A4B). As vers\u00f5es E2B e E4B s\u00e3o adequadas para uso em dispositivos m\u00f3veis, sistemas de Internet das Coisas (IoT) e placas do tipo Raspberry Pi, enquanto as demais vers\u00f5es s\u00e3o indicadas para esta\u00e7\u00f5es de trabalho e sistemas com GPUs consumidores. O tamanho do contexto considerado pelo modelo \u00e9 de 128 mil tokens para os modelos E2B e E4B, e 256 mil tokens para os modelos 31B e 26B A4B. <\/p>\n

Os modelos s\u00e3o multil\u00edngues e multimodais: suportam 35 idiomas por padr\u00e3o (mais de 140 idiomas foram usados no treinamento), e podem processar texto e imagens (os modelos E2B e E4B tamb\u00e9m suportam a entrada de \u00e1udio). O modelo 26B A4B \u00e9 baseado na arquitetura MoE (Mixture-of-Experts), onde o modelo \u00e9 dividido em uma s\u00e9rie de redes de especialistas (somente 3,8 bilh\u00f5es de par\u00e2metros podem ser usados na gera\u00e7\u00e3o de respostas, mas a velocidade \u00e9 significativamente superior em compara\u00e7\u00e3o com grandes modelos tradicionais), enquanto as outras vers\u00f5es utilizam a arquitetura monol\u00edtica cl\u00e1ssica. <\/p>\n

Os modelos suportam racioc\u00ednios e modos de pensamento personaliz\u00e1veis, apresentando um papel de sistema (System Role) para processar instru\u00e7\u00f5es (regras, restri\u00e7\u00f5es) separadamente dos dados. Os modelos podem ser usados para escrever c\u00f3digo, reconhecer objetos em imagens, an\u00e1lise quadro a quadro de v\u00eddeos, an\u00e1lise de documentos e PDFs, reconhecimento \u00f3ptico de texto impresso e manuscrito (OCR), reconhecimento de fala e tradu\u00e7\u00e3o entre idiomas. \u00c9 poss\u00edvel utiliz\u00e1-los como agentes aut\u00f4nomos, interagindo com v\u00e1rias ferramentas e APIs. <\/p>\n

Na maioria dos testes, os modelos da s\u00e9rie Gemma 4 superaram significativamente o modelo Gemma 3, que possui 27 bilh\u00f5es de par\u00e2metros. O uso da Gemma 4 com as ferramentas e bibliotecas LiteRT-LM, vLLM, llama.cpp, MLX, Ollama, NVIDIA NIM e NeMo, LM Studio, Unsloth, SGLang, Cactus, Basetan, MaxText, Tunix e Keras \u00e9 suportado.

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Fonte: 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 lan\u00e7ou o modelo de IA aberto Gemma 4, constru\u00eddo com tecnologias Gemini 3 | ProHoster","description":"A empresa Google lan\u00e7ou uma nova fam\u00edlia de grandes modelos de linguagem, Gemma 4, baseados nas tecnologias do modelo Gemini 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