{"id":10283,"date":"2024-02-26T10:02:28","date_gmt":"2024-02-26T10:02:28","guid":{"rendered":"https:\/\/dailyai.com\/?p=10283"},"modified":"2024-02-26T10:05:57","modified_gmt":"2024-02-26T10:05:57","slug":"google-announces-gemma-its-open-llms-that-can-run-locally","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2024\/02\/google-announces-gemma-its-open-llms-that-can-run-locally\/","title":{"rendered":"Google lanserer Gemma, en \u00e5pen LLM som kan kj\u00f8res lokalt"},"content":{"rendered":"<p>Google har lansert to modeller fra sin familie av lette, \u00e5pne modeller kalt Gemma.<\/p>\n<p>Mens Googles Gemini-modeller er propriet\u00e6re, eller lukkede modeller, har Gemma-modellene blitt utgitt som \"\u00e5pne modeller\" og gjort fritt tilgjengelige for utviklere.<\/p>\n<p>Google lanserte Gemma-modeller i to st\u00f8rrelser, 2B og 7B parametere, med forh\u00e5ndstrenede og instruksjonstilpassede varianter for hver av dem. Google lanserer modellvektene samt en rekke verkt\u00f8y som utviklere kan bruke for \u00e5 tilpasse modellene til egne behov.<\/p>\n<p>Google sier at Gemma-modellene ble bygget ved hjelp av den samme teknologien som driver flaggskipmodellen Gemini. Flere selskaper har lansert 7B-modeller i et fors\u00f8k p\u00e5 \u00e5 levere en LLM som beholder brukbar funksjonalitet, men som potensielt kj\u00f8rer lokalt i stedet for i skyen.<\/p>\n<p>Llama-2-7B og <a href=\"https:\/\/dailyai.com\/nb\/2023\/12\/the-rise-of-the-french-ai-startup-mistral\/\">Mistral-7B<\/a> er bemerkelsesverdige utfordrere p\u00e5 dette omr\u00e5det, men Google sier at \"Gemma overg\u00e5r betydelig st\u00f8rre modeller p\u00e5 viktige referanser\", og tilbyr denne referansesammenligningen som bevis.<\/p>\n<figure id=\"attachment_10325\" aria-describedby=\"caption-attachment-10325\" style=\"width: 1000px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-10325\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark.webp\" alt=\"\" width=\"1000\" height=\"615\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark.webp 1000w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark-300x185.webp 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark-768x472.webp 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark-370x228.webp 370w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark-800x492.webp 800w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark-20x12.webp 20w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark-740x455.webp 740w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark-78x48.webp 78w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><figcaption id=\"caption-attachment-10325\" class=\"wp-caption-text\">Benchmark-resultater for Gemma-7B sammenlignet med Llama-2-7B og Llama-2-12B. Kilde: Google Google<\/figcaption><\/figure>\n<p>Benchmark-resultatene viser at Gemma sl\u00e5r selv den st\u00f8rre 12B-versjonen av Llama 2 i alle de fire egenskapene.<\/p>\n<p>Det virkelig spennende med Gemma er muligheten til \u00e5 kj\u00f8re det lokalt. Google har inng\u00e5tt et samarbeid med NVIDIA for \u00e5 optimalisere Gemma for NVIDIA-GPU-er. Hvis du har en PC med en av NVIDIAs RTX-GPU-er, kan du kj\u00f8re Gemma p\u00e5 enheten din.<\/p>\n<p>NVIDIA sier at de har en installert base p\u00e5 over 100 millioner NVIDIA RTX GPU-er. Dette gj\u00f8r Gemma til et attraktivt alternativ for utviklere som pr\u00f8ver \u00e5 bestemme seg for hvilken lettvektsmodell de skal bruke som grunnlag for produktene sine.<\/p>\n<p>NVIDIA vil ogs\u00e5 legge til st\u00f8tte for Gemma p\u00e5 sin <a href=\"https:\/\/dailyai.com\/nb\/2024\/02\/nvidias-custom-chatbot-runs-locally-on-rtx-ai-pcs\/\">Chat med RTX<\/a> plattform som gj\u00f8r det enkelt \u00e5 kj\u00f8re LLM-er p\u00e5 RTX-PC-er.<\/p>\n<p>Selv om det teknisk sett ikke er \u00e5pen kildekode, er det bare bruksbegrensningene i lisensavtalen som hindrer Gemma-modeller fra \u00e5 eie denne merkelappen. <a href=\"https:\/\/dailyai.com\/nb\/2023\/07\/meta-plays-down-the-potential-risks-of-its-new-open-source-model-llama-2\/\">Kritikere av \u00e5pne modeller<\/a> peker p\u00e5 risikoen som ligger i \u00e5 holde dem p\u00e5 linje, men Google sier at de utf\u00f8rte omfattende red-teaming for \u00e5 sikre at Gemma var trygg.<\/p>\n<p>Google sier at de brukte \"omfattende finjustering og forsterkningsl\u00e6ring fra menneskelig tilbakemelding (RLHF) for \u00e5 tilpasse v\u00e5re instruksjonsinnstilte modeller med ansvarlig atferd.\" De ga ogs\u00e5 ut et Responsible Generative AI Toolkit for \u00e5 hjelpe utviklere med \u00e5 holde Gemma p\u00e5 linje etter finjustering.<\/p>\n<p>Tilpassbare lettvektsmodeller som Gemma kan gi utviklere mer nytteverdi enn st\u00f8rre modeller som GPT-4 eller Gemini Pro. Muligheten til \u00e5 kj\u00f8re LLM-er lokalt uten \u00e5 m\u00e5tte betale for nettskyen eller API-samtaler blir stadig mer tilgjengelig.<\/p>\n<p>Med Gemma \u00e5pent tilgjengelig for utviklere blir det interessant \u00e5 se hvilke AI-drevne applikasjoner som snart kan kj\u00f8re p\u00e5 PC-ene v\u00e5re.<\/p>","protected":false},"excerpt":{"rendered":"<p>Google har lansert to modeller fra sin familie av lette, \u00e5pne modeller kalt Gemma. Mens Googles Gemini-modeller er propriet\u00e6re, eller lukkede modeller, har Gemma-modellene blitt lansert som \"\u00e5pne modeller\" og gjort fritt tilgjengelige for utviklere. Google lanserte Gemma-modeller i to st\u00f8rrelser, 2B og 7B parametere, med forh\u00e5ndstrente og instruksjonsinnstilte varianter for hver. Google frigir modellvektene samt en rekke verkt\u00f8y som utviklere kan bruke for \u00e5 tilpasse modellene til sine behov. Google sier at Gemma-modellene ble bygget ved hjelp av den samme teknologien som driver flaggskipet Gemini-modellen. Flere selskaper har gitt ut 7B<\/p>","protected":false},"author":6,"featured_media":10326,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[83],"tags":[102,118],"class_list":["post-10283","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product","tag-google","tag-llms"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u200b\u200bGoogle announces Gemma, its open LLMs that can run locally | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/nb\/2024\/02\/google-announces-gemma-its-open-llms-that-can-run-locally\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u200b\u200bGoogle announces Gemma, its open LLMs that can run locally | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Google has released two models from its family of lightweight, open models called Gemma. While Google\u2019s Gemini models are proprietary, or closed models, the Gemma models have been released as \u201copen models\u201d and made freely available to developers. Google released Gemma models in two sizes, 2B and 7B parameters, with pre-trained and instruction-tuned variants for each. Google is releasing the model weights as well as a suite of tools for developers to adapt the models to their needs. Google says the Gemma models were built using the same tech that powers its flagship Gemini model. 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