{"id":748,"date":"2025-01-30T14:15:23","date_gmt":"2025-01-30T14:15:23","guid":{"rendered":"https:\/\/janusai.pro\/?p=748"},"modified":"2025-01-30T14:15:25","modified_gmt":"2025-01-30T14:15:25","slug":"how-to-install-and-use-deepseek-r1-on-your-local-computer","status":"publish","type":"post","link":"https:\/\/janusai.pro\/da\/how-to-install-and-use-deepseek-r1-on-your-local-computer\/","title":{"rendered":"S\u00e5dan installerer og bruger du DeepSeek R1 p\u00e5 din lokale computer"},"content":{"rendered":"<div style=\"margin-top: 0px; margin-bottom: 0px;\" class=\"sharethis-inline-share-buttons\" ><\/div>\n<p><a href=\"https:\/\/www.deepseek.com\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">DeepSeek R1<\/a>en ny open source AI-sprogmodel udviklet af det kinesiske AI-firma DeepSeek, er popul\u00e6r lige nu.<\/p>\n\n\n\n<p>Nogle brugere h\u00e6vder, at den kan sammenlignes med eller endda er st\u00e6rkere end OpenAI's o1 med hensyn til udledningsmuligheder.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"944\" height=\"566\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/ea7531d2-9dec-4af1-9dfd-8edde81a591b.png\" alt=\"\" class=\"wp-image-758\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/ea7531d2-9dec-4af1-9dfd-8edde81a591b.png 944w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/ea7531d2-9dec-4af1-9dfd-8edde81a591b-300x180.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/ea7531d2-9dec-4af1-9dfd-8edde81a591b-768x460.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/ea7531d2-9dec-4af1-9dfd-8edde81a591b-18x12.png 18w\" sizes=\"auto, (max-width: 944px) 100vw, 944px\" \/><\/figure>\n\n\n\n<p>I \u00f8jeblikket er DeepSeek gratis, hvilket er en god nyhed for brugerne, men det rejser ogs\u00e5 nogle sp\u00f8rgsm\u00e5l.<\/p>\n\n\n\n<p>Hvordan vil de h\u00e5ndtere omkostningerne til serveren, n\u00e5r antallet af brugere stiger? Hardwaren, der k\u00f8rer modellen, b\u00f8r ikke v\u00e6re billig, vel?<\/p>\n\n\n\n<p>Et rimeligt g\u00e6t er data.<\/p>\n\n\n\n<p>De kan indsamle brugerdata p\u00e5 en eller anden m\u00e5de, og disse data kan v\u00e6re nyttige for deres handelsmodeller eller andre former for indt\u00e6gtsgenerering.<\/p>\n\n\n\n<p>Hvis du er bekymret for datasikkerhed, men stadig vil bruge R1 uden at dele data, er den bedste l\u00f8sning at k\u00f8re modellen lokalt.<\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Indholdsfortegnelse<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Skift til indholdsfortegnelse\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/janusai.pro\/da\/how-to-install-and-use-deepseek-r1-on-your-local-computer\/#What_is_DeepSeek_R1\" >Hvad er DeepSeek R1?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/janusai.pro\/da\/how-to-install-and-use-deepseek-r1-on-your-local-computer\/#How_to_run_DeepSeek_R1_locally\" >S\u00e5dan k\u00f8rer du DeepSeek R1 lokalt<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/janusai.pro\/da\/how-to-install-and-use-deepseek-r1-on-your-local-computer\/#GPU_and_memory_requirements\" >Krav til GPU og hukommelse<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/janusai.pro\/da\/how-to-install-and-use-deepseek-r1-on-your-local-computer\/#Why_run_locally\" >Hvorfor k\u00f8re lokalt?<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/janusai.pro\/da\/how-to-install-and-use-deepseek-r1-on-your-local-computer\/#Privacy\" >Privatlivets fred<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/janusai.pro\/da\/how-to-install-and-use-deepseek-r1-on-your-local-computer\/#Offline_access\" >Offline adgang<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/janusai.pro\/da\/how-to-install-and-use-deepseek-r1-on-your-local-computer\/#Future-proof\" >Fremtidssikret<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/janusai.pro\/da\/how-to-install-and-use-deepseek-r1-on-your-local-computer\/#Flexible\" >Fleksibel<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/janusai.pro\/da\/how-to-install-and-use-deepseek-r1-on-your-local-computer\/#Summary\" >Sammenfatning<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"What_is_DeepSeek_R1\"><\/span>Hvad er <a href=\"https:\/\/www.deepseek.com\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">DeepSeek R1<\/a>?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>For et par dage siden blev DeepSeek R1 introduceret som en fuldst\u00e6ndig open source-model. Det betyder, at alle kan f\u00e5 adgang til den underliggende kode, foretage \u00e6ndringer og endda finjustere den til deres egne behov.<\/p>\n\n\n\n<p>DeepSeek R1 (ofte forkortet R1) er afledt af en stor basismodel kaldet DeepSeek-V3.<\/p>\n\n\n\n<p>Forskerteamet har optimeret denne model ved at kombinere superviseret finjustering (SFT) med manuelt kommenterede data af h\u00f8j kvalitet og forst\u00e6rkningsl\u00e6ring (RL).<\/p>\n\n\n\n<p>Det har resulteret i en chatbot, der kan h\u00e5ndtere komplekse foresp\u00f8rgsler, vise r\u00e6sonnementet bag komplekse sp\u00f8rgsm\u00e5l (nogle gange tydeligere end andre modeller) og endda pr\u00e6sentere kode i chatgr\u00e6nsefladen til hurtig testning.<\/p>\n\n\n\n<p>Det er virkelig imponerende, is\u00e6r for en open source-model.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"How_to_run_DeepSeek_R1_locally\"><\/span>S\u00e5dan k\u00f8rer du DeepSeek R1 lokalt<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Til <a href=\"https:\/\/huggingface.co\/deepseek-ai\/DeepSeek-R1-Zero\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">k\u00f8r DeepSeek R1 lokalt<\/a>vil vi bruge et v\u00e6rkt\u00f8j, der hedder Ollama.<\/p>\n\n\n\n<p>Ollama er et gratis og open source-v\u00e6rkt\u00f8j, der giver brugerne mulighed for at k\u00f8re store sprogmodeller (LLM'er) lokalt p\u00e5 deres computere.<\/p>\n\n\n\n<p>Det er tilg\u00e6ngeligt til macOS, Linux og Windows. Bes\u00f8g det officielle Ollama-websted, klik p\u00e5 knappen \"Download\", og installer det p\u00e5 dit system.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1899\" height=\"874\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/cb5931e9-ba63-4abd-b79e-a657476f1472.png\" alt=\"\" class=\"wp-image-751\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/cb5931e9-ba63-4abd-b79e-a657476f1472.png 1899w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/cb5931e9-ba63-4abd-b79e-a657476f1472-300x138.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/cb5931e9-ba63-4abd-b79e-a657476f1472-1024x471.png 1024w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/cb5931e9-ba63-4abd-b79e-a657476f1472-768x353.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/cb5931e9-ba63-4abd-b79e-a657476f1472-1536x707.png 1536w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/cb5931e9-ba63-4abd-b79e-a657476f1472-18x8.png 18w\" sizes=\"auto, (max-width: 1899px) 100vw, 1899px\" \/><\/figure>\n\n\n\n<p>For at bekr\u00e6fte en vellykket installation,<\/p>\n\n\n\n<p>\u00c5bn en terminal, og k\u00f8r f\u00f8lgende kommando:ollama -v<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"706\" height=\"326\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/bcda3258-6023-426d-9154-b8e879fed017.png\" alt=\"\" class=\"wp-image-750\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/bcda3258-6023-426d-9154-b8e879fed017.png 706w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/bcda3258-6023-426d-9154-b8e879fed017-300x139.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/bcda3258-6023-426d-9154-b8e879fed017-18x8.png 18w\" sizes=\"auto, (max-width: 706px) 100vw, 706px\" \/><\/figure>\n\n\n\n<p>Du b\u00f8r se Ollamas versionsnummer i stedet for en fejlmeddelelse.<\/p>\n\n\n\n<p>Under fanen \"Modeller\" skal du s\u00f8ge efter n\u00f8gleordet \"deepseek\", og du b\u00f8r se \"deepseek-r1\" \u00f8verst p\u00e5 listen.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1537\" height=\"749\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/e7d75dc5-42c4-40e2-bb32-62c46bfdc7ff.png\" alt=\"\" class=\"wp-image-753\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/e7d75dc5-42c4-40e2-bb32-62c46bfdc7ff.png 1537w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/e7d75dc5-42c4-40e2-bb32-62c46bfdc7ff-300x146.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/e7d75dc5-42c4-40e2-bb32-62c46bfdc7ff-1024x499.png 1024w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/e7d75dc5-42c4-40e2-bb32-62c46bfdc7ff-768x374.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/e7d75dc5-42c4-40e2-bb32-62c46bfdc7ff-18x9.png 18w\" sizes=\"auto, (max-width: 1537px) 100vw, 1537px\" \/><\/figure>\n\n\n\n<p>Klik p\u00e5 den, og i afsnittet \"Modeller\" vil du se, at der er flere modelst\u00f8rrelser med parametre fra 5 milliarder til 671 milliarder. Som en generel regel kr\u00e6ver st\u00f8rre modeller kraftigere GPU'er for at k\u00f8re.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1475\" height=\"795\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/0debc975-bb06-4e2a-ae37-ed3774284bd6.png\" alt=\"\" class=\"wp-image-749\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/0debc975-bb06-4e2a-ae37-ed3774284bd6.png 1475w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/0debc975-bb06-4e2a-ae37-ed3774284bd6-300x162.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/0debc975-bb06-4e2a-ae37-ed3774284bd6-1024x552.png 1024w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/0debc975-bb06-4e2a-ae37-ed3774284bd6-768x414.png 768w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/0debc975-bb06-4e2a-ae37-ed3774284bd6-18x10.png 18w\" sizes=\"auto, (max-width: 1475px) 100vw, 1475px\" \/><\/figure>\n\n\n\n<p>En lille model som versionen med 8 milliarder parametre kan k\u00f8re p\u00e5 en GPU med 8 GB grafikhukommelse, mens st\u00f8rre modeller kr\u00e6ver betydeligt flere ressourcer (se afsnittet nedenfor om grafikhukommelse og GPU-krav).<\/p>\n\n\n\n<p>Brug f\u00f8lgende kommando til at downloade og k\u00f8re modellen med 8 milliarder parametre:<strong>ollama k\u00f8rer deepseek-r1:8b<\/strong><\/p>\n\n\n\n<p>Modellen begynder at downloade (ca. 4,9 GB), og f\u00f8r du forts\u00e6tter, skal du sikre dig, at du har tilstr\u00e6kkelig diskplads.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"704\" height=\"317\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/fb4c6e91-f079-40cd-9255-9e55175c0352.png\" alt=\"\" class=\"wp-image-752\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/fb4c6e91-f079-40cd-9255-9e55175c0352.png 704w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/fb4c6e91-f079-40cd-9255-9e55175c0352-300x135.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/fb4c6e91-f079-40cd-9255-9e55175c0352-18x8.png 18w\" sizes=\"auto, (max-width: 704px) 100vw, 704px\" \/><\/figure>\n\n\n\n<p>N\u00e5r downloadet er f\u00e6rdigt, k\u00f8rer modellen p\u00e5 din lokale computer, og du kan starte en samtale med den med det samme.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"706\" height=\"341\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/adb7cb47-7e55-4c86-9cf9-f44e3c808ee4.png\" alt=\"\" class=\"wp-image-754\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/adb7cb47-7e55-4c86-9cf9-f44e3c808ee4.png 706w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/adb7cb47-7e55-4c86-9cf9-f44e3c808ee4-300x145.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/adb7cb47-7e55-4c86-9cf9-f44e3c808ee4-18x9.png 18w\" sizes=\"auto, (max-width: 706px) 100vw, 706px\" \/><\/figure>\n\n\n\n<p>Lad os teste det med et eksempel p\u00e5 en prompt:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"706\" height=\"348\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/25e8e0af-355e-42ab-a0d2-3c09b06107a4.png\" alt=\"\" class=\"wp-image-755\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/25e8e0af-355e-42ab-a0d2-3c09b06107a4.png 706w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/25e8e0af-355e-42ab-a0d2-3c09b06107a4-300x148.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/25e8e0af-355e-42ab-a0d2-3c09b06107a4-18x9.png 18w\" sizes=\"auto, (max-width: 706px) 100vw, 706px\" \/><\/figure>\n\n\n\n<p>Sp\u00f8rg: <strong><a href=\"https:\/\/huggingface.co\/deepseek-ai\/DeepSeek-R1-Zero\" target=\"_blank\" rel=\"noopener\">Hvad er DeepSeek R-1?<\/a>?<\/strong><\/p>\n\n\n\n<p>Svar: DeepSeek R-1 er en AI-assistent, der er udviklet af det kinesiske firma DeepSeek.<\/p>\n\n\n\n<p>Den er designet til at give svar og hj\u00e6lp om en r\u00e6kke forskellige emner, herunder men ikke begr\u00e6nset til matematik, programmering, naturlig sprogbehandling osv. Hvis du har sp\u00f8rgsm\u00e5l eller brug for hj\u00e6lp, er du velkommen til at sp\u00f8rge mig!<\/p>\n\n\n\n<p>Fantastisk.<\/p>\n\n\n\n<p>Den er hurtig og fungerer, selv n\u00e5r jeg kobler min b\u00e6rbare computer fra Wi-Fi-netv\u00e6rket. Bem\u00e6rk, at den ikke kan f\u00e5 adgang til internettet, selv om du er forbundet til det.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"710\" height=\"349\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/a2eb1108-d77b-4408-997c-aef5b00e647f.png\" alt=\"\" class=\"wp-image-757\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/a2eb1108-d77b-4408-997c-aef5b00e647f.png 710w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/a2eb1108-d77b-4408-997c-aef5b00e647f-300x147.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/a2eb1108-d77b-4408-997c-aef5b00e647f-18x9.png 18w\" sizes=\"auto, (max-width: 710px) 100vw, 710px\" \/><\/figure>\n\n\n\n<p>Tip: Hvad er den seneste aktiekurs for AAPL?<\/p>\n\n\n\n<p>Svar: Som AI-assistent kan jeg ikke f\u00e5 adgang til realtidsdata og kan derfor ikke give den seneste aktiekurs for Apple Inc (AAPL).<\/p>\n\n\n\n<p>For at f\u00e5 de mest n\u00f8jagtige og opdaterede oplysninger foresl\u00e5r jeg, at du tjekker finansielle nyhedsplatforme eller din m\u00e6glervirksomhed:<\/p>\n\n\n\n<p>K\u00f8r LLM'er lokalt, herunder LLaMA2, Phi 4, Mistral og GemmaGiv brugerne mulighed for at oprette og dele deres egne LLM'erPakk\u00e9r modelv\u00e6gte, konfigurationer og data i en enkelt pakkeOptimer indstillinger og konfigurationsdetaljer, herunder GPU-brug.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"GPU_and_memory_requirements\"><\/span>Krav til GPU og hukommelse<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Hukommelseskravene til DeepSeek-R1 afh\u00e6nger af faktorer som modellens st\u00f8rrelse, antallet af parametre og kvantificeringsteknikken.<\/p>\n\n\n\n<p>Her er en detaljeret oversigt over hukommelseskravene til DeepSeek-R1 og dens reducerede model samt de anbefalede GPU'er:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"697\" height=\"526\" src=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/037b533e-ed90-40bb-a747-3a91507f864d.png\" alt=\"\" class=\"wp-image-756\" srcset=\"https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/037b533e-ed90-40bb-a747-3a91507f864d.png 697w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/037b533e-ed90-40bb-a747-3a91507f864d-300x226.png 300w, https:\/\/janusai.pro\/wp-content\/uploads\/2025\/01\/037b533e-ed90-40bb-a747-3a91507f864d-16x12.png 16w\" sizes=\"auto, (max-width: 697px) 100vw, 697px\" \/><\/figure>\n\n\n\n<p><strong>Vigtig bem\u00e6rkning om brug af hukommelse:<\/strong><\/p>\n\n\n\n<p>Distribueret GPU-ops\u00e6tning til store modeller: DeepSeek-R1-Zero og DeepSeek-R1 kr\u00e6ver en masse grafikhukommelse og derfor en distribueret GPU-konfiguration (f.eks. NVIDIA A100 eller H100 i en multi-GPU-ops\u00e6tning) for at opn\u00e5 optimal ydeevne.<\/p>\n\n\n\n<p>Lite-modellerne er optimeret til at k\u00f8re p\u00e5 en enkelt GPU med lavere krav til grafikhukommelse, startende ved 0,7 GB.<\/p>\n\n\n\n<p>Yderligere brug af hukommelse: Aktivering, buffere og batchopgaver kan forbruge ekstra hukommelse.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Why_run_locally\"><\/span>Hvorfor k\u00f8re lokalt?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>DeepSeeks webchatbot og mobilapp er gratis og meget praktisk. Du beh\u00f8ver ikke at foretage nogen ops\u00e6tning, og funktioner som DeepThink og webs\u00f8gning er indbygget.<\/p>\n\n\n\n<p>Det kan dog v\u00e6re en bedre l\u00f8sning at k\u00f8re det lokalt af f\u00f8lgende grunde<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Privacy\"><\/span>Privatlivets fred<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>N\u00e5r du bruger web- eller app-versionen, sendes dine foresp\u00f8rgsler og eventuelle vedh\u00e6ftede filer til DeepSeeks servere til behandling. Hvad der sker med disse data, ved vi ikke. Ved at k\u00f8re modellen lokalt sikres det, at dine data forbliver p\u00e5 din computer, hvilket giver dig fuld kontrol over dit privatliv.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Offline_access\"><\/span>Offline adgang<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>At k\u00f8re modellen lokalt betyder, at du ikke har brug for en internetforbindelse.<\/p>\n\n\n\n<p>Hvis du er ude at rejse, st\u00f8der p\u00e5 ustabilt wi-fi eller bare foretr\u00e6kker at arbejde offline, kan du med den lokale ops\u00e6tning bruge DeepSeek n\u00e5r som helst og hvor som helst.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Future-proof\"><\/span>Fremtidssikret<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>I \u00f8jeblikket er DeepSeeks tjenester gratis, men det vil sandsynligvis ikke vare evigt. P\u00e5 et tidspunkt kan det blive n\u00f8dvendigt at tjene penge p\u00e5 dem, og der kan komme brugsrestriktioner eller abonnementsgebyrer. Med den lokale model kan du helt undg\u00e5 disse begr\u00e6nsninger.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Flexible\"><\/span>Fleksibel<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Med den lokale version er du ikke begr\u00e6nset af standardindstillinger. Vil du finjustere modellen?<\/p>\n\n\n\n<p>Integrere det med andre v\u00e6rkt\u00f8jer? Byg en brugerdefineret gr\u00e6nseflade? DeepSeek R1's open source-karakter giver dig uendelige muligheder.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Summary\"><\/span>Sammenfatning<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>I \u00f8jeblikket er det stadig uklart, hvordan DeepSeek h\u00e5ndterer brugerdata.<\/p>\n\n\n\n<p>Hvis du er ligeglad med databeskyttelse, kan det v\u00e6re et bedre valg at bruge web- eller mobilapps. De er nemmere at bruge og tilbyder funktioner som DeepThink og webs\u00f8gning.<\/p>\n\n\n\n<p>Men hvis du bekymrer dig om, hvor dine data ender, er den lokale model et godt alternativ at overveje.<\/p>\n\n\n\n<p>DeepSeek-modellen er designet til at k\u00f8re godt, selv p\u00e5 hardware, der ikke er s\u00e6rlig kraftig.<\/p>\n\n\n\n<p>Mens st\u00f8rre modeller som DeepSeek-R1-Zero kr\u00e6ver en distribueret GPU-ops\u00e6tning, g\u00f8r lite-versionen det muligt at k\u00f8re problemfrit p\u00e5 en enkelt GPU med lavere hukommelseskrav.<\/p>","protected":false},"excerpt":{"rendered":"<p>DeepSeek R1, en ny open source AI-sprogmodel udviklet af det kinesiske AI-firma DeepSeek, er popul\u00e6r lige nu. Nogle brugere h\u00e6vder, at den kan sammenlignes med eller endda er st\u00e6rkere end OpenAI's o1 med hensyn til udledningsmuligheder. I \u00f8jeblikket er DeepSeek gratis, hvilket er en god nyhed for brugerne, men det rejser ogs\u00e5 nogle sp\u00f8rgsm\u00e5l. Hvordan...<\/p>","protected":false},"author":2,"featured_media":684,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kadence_starter_templates_imported_post":false,"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-748","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/posts\/748","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/comments?post=748"}],"version-history":[{"count":1,"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/posts\/748\/revisions"}],"predecessor-version":[{"id":759,"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/posts\/748\/revisions\/759"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/media\/684"}],"wp:attachment":[{"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/media?parent=748"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/categories?post=748"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/janusai.pro\/da\/wp-json\/wp\/v2\/tags?post=748"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}