{"id":67604,"date":"2025-08-15T00:01:09","date_gmt":"2025-08-15T00:01:09","guid":{"rendered":"https:\/\/www.newsbeep.com\/uk\/67604\/"},"modified":"2025-08-15T00:01:09","modified_gmt":"2025-08-15T00:01:09","slug":"google-releases-pint-size-gemma-open-ai-model","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/uk\/67604\/","title":{"rendered":"Google releases pint-size Gemma open AI model"},"content":{"rendered":"<p>Big tech has spent the last few years creating ever-larger AI models, leveraging rack after rack of expensive GPUs to provide generative AI as a cloud service. But tiny AI matters, too. Google has announced a tiny version of its Gemma open model designed to run on local devices. Google says the new Gemma 3 270M can be tuned in a snap and maintains robust performance despite its small footprint.<\/p>\n<p>Google released its first <a href=\"https:\/\/arstechnica.com\/gadgets\/2025\/03\/googles-new-gemma-3-ai-model-is-optimized-to-run-on-a-single-gpu\/\" rel=\"nofollow noopener\" target=\"_blank\">Gemma 3 open models<\/a> earlier this year, featuring between 1 billion and 27 billion parameters. In generative AI, the parameters are the learned variables that control how the model processes inputs to estimate output tokens. Generally, the more parameters in a model, the better it performs. With just 270 million parameters, the new Gemma 3 can run on devices like smartphones or even entirely inside a web browser.<\/p>\n<p>Running an AI model locally has numerous benefits, including enhanced privacy and lower latency. Gemma 3 270M was designed with these kinds of use cases in mind. In testing with a Pixel 9 Pro, the new Gemma was able to run 25 conversations on the Tensor G4 chip and use just 0.75 percent of the device&#8217;s battery. That makes it by far the most efficient Gemma model.<\/p>\n<p>            <a data-pswp-width=\"4001\" data-pswp-height=\"2251\" data-cropped=\"false\" href=\"https:\/\/www.newsbeep.com\/uk\/wp-content\/uploads\/2025\/08\/1755216069_524_Gemma3-270M_Chart01_RD3-V01.original.jpg\" target=\"_blank\" class=\"cursor-zoom-in\" data-pswp-><br \/>\n              <img width=\"4001\" height=\"2251\" src=\"https:\/\/www.newsbeep.com\/uk\/wp-content\/uploads\/2025\/08\/1755216069_524_Gemma3-270M_Chart01_RD3-V01.original.jpg\" class=\"fullwidth full\" alt=\"Small Gemma benchmark\" decoding=\"async\" loading=\"lazy\"  \/><br \/>\n            <\/a><\/p>\n<p>              Gemma 3 270M shows strong instruction-following for its small size.<\/p>\n<p>\n                  Credit:<br \/>\n                                      Google\n                                  <\/p>\n<p>\n      Gemma 3 270M shows strong instruction-following for its small size.<\/p>\n<p>          Credit:<\/p>\n<p>          Google<\/p>\n<p>Developers shouldn&#8217;t expect the same performance level of a multi-billion-parameter model, but Gemma 3 270M has its uses. Google used the IFEval benchmark, which tests a model&#8217;s ability to follow instructions, to show that its new model punches above its weight. Gemma 3 270M hits a score of 51.2 percent in this test, which is higher than other lightweight models that have more parameters. The new Gemma falls predictably short of 1 billion-plus models like Llama 3.2, but it gets closer than you might think for having just a fraction of the parameters.<\/p>\n","protected":false},"excerpt":{"rendered":"Big tech has spent the last few years creating ever-larger AI models, leveraging rack after rack of expensive&hellip;\n","protected":false},"author":2,"featured_media":67605,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[554,733,4308,86,56,54,55],"class_list":["post-67604","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-technology","tag-uk","tag-united-kingdom","tag-unitedkingdom"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/67604","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=67604"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/67604\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/67605"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=67604"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=67604"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=67604"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}