--- title: Introducing Gemma models in Keras | daily.dev description: Gemma models, built from the same research and technology as Gemini models, are now available in the KerasNLP collection. They offer portable parameter sizes,... canonical: https://daily.dev/posts/introducing-gemma-models-in-keras-h33gbw2k7 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Introducing Gemma models in Keras | daily.dev og:description: Gemma models, built from the same research and technology as Gemini models, are now available in the KerasNLP collection. They offer portable parameter sizes,... og:url: https://daily.dev/posts/introducing-gemma-models-in-keras-h33gbw2k7 og:image: https://api.daily.dev/og/posts/H33Gbw2k7.png og:image:alt: Introducing Gemma models in Keras og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Introducing Gemma models in Keras **[Google Developers](https://daily.dev/sources/googledevs)** · 4 min read · 3 upvotes · 0 comments ## Summary Gemma models, built from the same research and technology as Gemini models, are now available in the KerasNLP collection. They offer portable parameter sizes, a familiar KerasNLP API, and new features for large language models. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#keras](https://daily.dev/tags/keras) [View this post on daily.dev](https://daily.dev/posts/introducing-gemma-models-in-keras-h33gbw2k7) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Introducing Gemma models in Keras","url":"https://daily.dev/posts/introducing-gemma-models-in-keras-h33gbw2k7","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/introducing-gemma-models-in-keras-h33gbw2k7"},"datePublished":"2024-04-25T06:36:47.933Z","dateModified":"2024-05-09T09:23:16.455Z","description":"Gemma models, built from the same research and technology as Gemini models, are now available in the KerasNLP collection. They offer portable parameter sizes,...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/dd196deb39753c3f005b863a7579123a?_a=AQAEufR","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/dd196deb39753c3f005b863a7579123a?_a=AQAEufR","isAccessibleForFree":true,"articleSection":"Google Developers","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Google Developers","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/ea4bbded4e7f45ccb82e121a3156535f","url":"https://daily.dev/sources/googledevs"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/introducing-gemma-models-in-keras-h33gbw2k7","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":3},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"keras","timeRequired":"PT4M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Google Developers","item":"https://daily.dev/sources/googledevs"},{"@type":"ListItem","position":3,"name":"Introducing Gemma models in Keras"}]} ```