{"id":30237,"date":"2026-10-09T21:16:44","date_gmt":"2026-10-09T19:16:44","guid":{"rendered":"https:\/\/comunicagenia.com\/blog\/gemma-google-open-source-model-family\/"},"modified":"2026-10-09T21:16:44","modified_gmt":"2026-10-09T19:16:44","slug":"gemma-google-open-source-model-family","status":"publish","type":"post","link":"https:\/\/comunicagenia.com\/en\/blog\/gemma-google-open-source-model-family\/","title":{"rendered":"Gemma: Google Open Source Model Family"},"content":{"rendered":"\n

Gemma<\/strong> is the family of lightweight, open-weight language models created by Google DeepMind, built around the same research and hardware technologies that power Gemini models.<\/p>\n\n\n

Gemma Generations: Gemma 1 and Gemma 2<\/h2>\n\n\n

Google has expanded the Gemma catalog into two main generations with various parameter scales to cover everything from local mobile devices to workstations and corporate servers:<\/p>\n\n\n

\n

Gemma 1<\/h3>

2B and 7B<\/p>

Pioneering ultralight models for inference on commercial consumer CPUs and GPUs.<\/p><\/div>\n\n\n

Gemma 2<\/h3>

2B, 9B and 27B<\/p>

Advanced architecture that rivals open models twice its size.<\/p><\/div>\n\n\n

Specialized<\/h3>

CodeGemma<\/p>

Variants specialized in source code autocompletion and debugging.<\/p><\/div>\n<\/div>\n\n\n

Open Deployment and Development Ecosystem<\/h2>\n\n\n

All Gemma models have publicly available weights on platforms such as Hugging Face<\/a>, Kaggle and GitHub, accompanied by notebooks ready to run in Google Colab with support for frameworks such as PyTorch, JAX and Keras.<\/p>\n\n\n

To see the evolution of this open line compared to Google’s proprietary models, review our article on Gemma 3<\/a> and consult the general guide to Google Gemini<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Gemma is the family of lightweight, open-weight language models created by Google DeepMind, built around the same research and hardware technologies that power Gemini models. Gemma Generations: Gemma 1 and Gemma 2 Google has expanded the Gemma catalog into two main generations with various parameter scales to cover everything from local mobile devices to workstations […]<\/p>\n","protected":false},"author":1,"featured_media":29476,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","_thinkrank_schema_form_data":"","_thinkrank_selected_schema_type":"","_thinkrank_additional_schemas":"","_thinkrank_canonical_url":"","_thinkrank_og_title":"","_thinkrank_og_description":"","_thinkrank_og_image":"","_thinkrank_twitter_title":"","_thinkrank_twitter_description":"","_thinkrank_twitter_image":"","_thinkrank_imported_from":"","_thinkrank_focus_keywords":[],"_thinkrank_focus_keyword":"","_thinkrank_robots_meta_enabled":0,"_thinkrank_robots_meta":"","_thinkrank_advanced_robots_meta":"","_thinkrank_exclude_from_search":0,"_thinkrank_exclude_from_archives":0,"_thinkrank_primary_category":0,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[1],"tags":[],"class_list":["post-30237","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sin-categorizar"],"uagb_featured_image_src":{"full":["https:\/\/comunicagenia.com\/wp-content\/uploads\/2026\/09\/gemma-google.jpg",1280,720,false],"thumbnail":["https:\/\/comunicagenia.com\/wp-content\/uploads\/2026\/09\/gemma-google-150x150.jpg",150,150,true],"medium":["https:\/\/comunicagenia.com\/wp-content\/uploads\/2026\/09\/gemma-google-300x169.jpg",300,169,true],"medium_large":["https:\/\/comunicagenia.com\/wp-content\/uploads\/2026\/09\/gemma-google-768x432.jpg",768,432,true],"large":["https:\/\/comunicagenia.com\/wp-content\/uploads\/2026\/09\/gemma-google-1024x576.jpg",1024,576,true],"1536x1536":["https:\/\/comunicagenia.com\/wp-content\/uploads\/2026\/09\/gemma-google.jpg",1280,720,false],"2048x2048":["https:\/\/comunicagenia.com\/wp-content\/uploads\/2026\/09\/gemma-google.jpg",1280,720,false]},"uagb_author_info":{"display_name":"admin","author_link":"https:\/\/comunicagenia.com\/en\/blog\/author\/admin\/"},"uagb_comment_info":0,"uagb_excerpt":"Gemma is the family of lightweight, open-weight language models created by Google DeepMind, built around the same research and hardware technologies that power Gemini models. Gemma Generations: Gemma 1 and Gemma 2 Google has expanded the Gemma catalog into two main generations with various parameter scales to cover everything from local mobile devices to workstations…","_links":{"self":[{"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/posts\/30237","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/comments?post=30237"}],"version-history":[{"count":0,"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/posts\/30237\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/media\/29476"}],"wp:attachment":[{"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/media?parent=30237"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/categories?post=30237"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/tags?post=30237"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}