{"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\/sv\/2024\/02\/google-announces-gemma-its-open-llms-that-can-run-locally\/","title":{"rendered":"Google lanserar Gemma, sin \u00f6ppna LLM som kan k\u00f6ras lokalt"},"content":{"rendered":"

Google har sl\u00e4ppt tv\u00e5 modeller fr\u00e5n sin familj av l\u00e4tta, \u00f6ppna modeller som kallas Gemma.<\/p>\n

Medan Googles Gemini-modeller \u00e4r propriet\u00e4ra, eller slutna modeller, har Gemma-modellerna sl\u00e4ppts som \"\u00f6ppna modeller\" och gjorts fritt tillg\u00e4ngliga f\u00f6r utvecklare.<\/p>\n

Google sl\u00e4ppte Gemma-modeller i tv\u00e5 storlekar, 2B- och 7B-parametrar, med f\u00f6rtr\u00e4nade och instruktionsanpassade varianter f\u00f6r var och en. Google sl\u00e4pper modellvikterna samt en upps\u00e4ttning verktyg f\u00f6r utvecklare som vill anpassa modellerna efter sina behov.<\/p>\n

Google s\u00e4ger att Gemma-modellerna byggdes med samma teknik som driver sin flaggskeppsmodell Gemini. Flera f\u00f6retag har sl\u00e4ppt 7B-modeller i ett f\u00f6rs\u00f6k att leverera en LLM som beh\u00e5ller anv\u00e4ndbar funktionalitet samtidigt som den potentiellt k\u00f6rs lokalt ist\u00e4llet f\u00f6r i molnet.<\/p>\n

Llama-2-7B och Mistral-7B<\/a> \u00e4r anm\u00e4rkningsv\u00e4rda utmanare i detta utrymme men Google s\u00e4ger att \"Gemma \u00f6vertr\u00e4ffar betydligt st\u00f6rre modeller p\u00e5 viktiga riktm\u00e4rken\" och erbj\u00f6d denna riktm\u00e4rkesj\u00e4mf\u00f6relse som bevis.<\/p>\n

\"\"
Benchmark-resultat f\u00f6r Gemma-7B j\u00e4mf\u00f6rt med Llama-2-7B och Llama-2-12B. K\u00e4lla: Google Google<\/figcaption><\/figure>\n

Benchmarkresultaten visar att Gemma till och med sl\u00e5r den st\u00f6rre 12B-versionen av Llama 2 i alla fyra funktionerna.<\/p>\n

Det som \u00e4r riktigt sp\u00e4nnande med Gemma \u00e4r m\u00f6jligheten att k\u00f6ra det lokalt. Google har samarbetat med NVIDIA f\u00f6r att optimera Gemma f\u00f6r NVIDIA GPU:er. Om du har en dator med en av NVIDIA:s RTX GPU:er kan du k\u00f6ra Gemma p\u00e5 din enhet.<\/p>\n

NVIDIA s\u00e4ger sig ha en installerad bas p\u00e5 \u00f6ver 100 miljoner NVIDIA RTX GPU:er. Detta g\u00f6r Gemma till ett attraktivt alternativ f\u00f6r utvecklare som f\u00f6rs\u00f6ker best\u00e4mma vilken l\u00e4ttviktsmodell som ska anv\u00e4ndas som bas f\u00f6r deras produkter.<\/p>\n

NVIDIA kommer ocks\u00e5 att l\u00e4gga till st\u00f6d f\u00f6r Gemma p\u00e5 sin Chatta med RTX<\/a> plattform som g\u00f6r det enkelt att k\u00f6ra LLM p\u00e5 RTX-datorer.<\/p>\n

\u00c4ven om det tekniskt sett inte \u00e4r \u00f6ppen k\u00e4llkod \u00e4r det bara anv\u00e4ndningsbegr\u00e4nsningarna i licensavtalet som hindrar Gemma-modellerna fr\u00e5n att \u00e4ga den etiketten. Kritiker av \u00f6ppna modeller<\/a> pekar p\u00e5 riskerna med att h\u00e5lla dem i linje, men Google s\u00e4ger att det utf\u00f6rde omfattande red-teaming f\u00f6r att s\u00e4kerst\u00e4lla att Gemma var s\u00e4ker.<\/p>\n

Google s\u00e4ger att de anv\u00e4nde \"omfattande finjustering och f\u00f6rst\u00e4rkningsinl\u00e4rning fr\u00e5n m\u00e4nsklig feedback (RLHF) f\u00f6r att anpassa v\u00e5ra instruktionsinst\u00e4llda modeller till ansvarsfulla beteenden.\" Det sl\u00e4ppte ocks\u00e5 en Responsible Generative AI Toolkit f\u00f6r att hj\u00e4lpa utvecklare att h\u00e5lla Gemma inriktad efter finjustering.<\/p>\n

Anpassningsbara l\u00e4ttviktsmodeller som Gemma kan erbjuda utvecklare mer nytta \u00e4n st\u00f6rre modeller som GPT-4 eller Gemini Pro. M\u00f6jligheten att k\u00f6ra LLM:er lokalt utan kostnaden f\u00f6r molntj\u00e4nster eller API-samtal blir mer tillg\u00e4nglig f\u00f6r varje dag.<\/p>\n

Med Gemma \u00f6ppet tillg\u00e4nglig f\u00f6r utvecklare blir det intressant att se utbudet av AI-drivna applikationer som snart kan k\u00f6ras p\u00e5 v\u00e5ra datorer.<\/p>","protected":false},"excerpt":{"rendered":"

Google har sl\u00e4ppt tv\u00e5 modeller fr\u00e5n sin familj av l\u00e4ttviktiga, \u00f6ppna modeller som kallas Gemma. Medan Googles Gemini-modeller \u00e4r propriet\u00e4ra, eller slutna modeller, har Gemma-modellerna sl\u00e4ppts som \"\u00f6ppna modeller\" och gjorts fritt tillg\u00e4ngliga f\u00f6r utvecklare. Google sl\u00e4ppte Gemma-modeller i tv\u00e5 storlekar, 2B- och 7B-parametrar, med f\u00f6rutbildade och instruktionsanpassade varianter f\u00f6r var och en. Google sl\u00e4pper modellvikterna samt en upps\u00e4ttning verktyg f\u00f6r att utvecklare ska kunna anpassa modellerna efter sina behov. Google s\u00e4ger att Gemma-modellerna byggdes med samma teknik som driver sin flaggskeppsmodell Gemini. Flera f\u00f6retag har sl\u00e4ppt 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":"\n\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\/sv\/2024\/02\/google-announces-gemma-its-open-llms-that-can-run-locally\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\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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