{"id":8401,"date":"2025-02-14T06:01:44","date_gmt":"2025-02-14T06:01:44","guid":{"rendered":"https:\/\/howtogeek.blog\/lt\/?p=8401"},"modified":"2025-02-14T06:01:44","modified_gmt":"2025-02-14T06:01:44","slug":"guide-to-running-deepseek-r1-locally-on-pc-and-mobile-devices","status":"publish","type":"post","link":"https:\/\/howtogeek.blog\/lt\/guide-to-running-deepseek-r1-locally-on-pc-and-mobile-devices\/","title":{"rendered":"\u201eDeepSeek R1\u201c paleidimo vietiniame kompiuteryje ir mobiliuosiuose \u012frenginiuose vadovas"},"content":{"rendered":"<p>DeepSeek R1 AI modelio atsiradimas i\u0161 Kinijos suk\u0117l\u0117 didel\u012f jaudul\u012f AI sektoriuje, ypa\u010d d\u0117l to, kad jis pranoksta OpenAI o1 model\u012f. Nors DeepSeek R1 yra lengvai prieinama nemokamai internete, \u0161is patogumas kelia \u012fvairi\u0173 privatumo problem\u0173. Jei norite apsaugoti savo duomenis, ta\u010diau norite i\u0161naudoti \u0161io AI modelio gali\u0105, paleisti j\u012f vietoje savo \u012frenginyje yra puiki alternatyva.<\/p>\n<p>\u201eDeepSeek R1\u201c si\u016blo kelet\u0105 modeli\u0173 variant\u0173, \u012fskaitant distiliuotas versijas su 1.5B, 7B, 14B, 32B parametrais ir mamutin\u012f 671B pavyzdin\u012f model\u012f. Kad gal\u0117tum\u0117te efektyviai valdyti didesnius modelius, tokius kaip 14B ir daugiau, j\u016bs\u0173 \u012frenginys turi tur\u0117ti tvirt\u0105 procesori\u0173, GPU ir galb\u016bt special\u0173 NPU. Net ir lengvesniems modeliams norint u\u017etikrinti skland\u017ei\u0105 patirt\u012f, labai svarbu tur\u0117ti tik 8 GB RAM.<\/p>\n<h2 id=\"run-deepseek-r1-locally-on-pc-with-lm-studio\">Paleiskite \u201eDeepSeek R1\u201c kompiuteryje naudodami \u201eLM Studio\u201c.<\/h2>\n<p>LM Studio pristato vien\u0105 i\u0161 patogiausi\u0173 vartotojui parink\u010di\u0173, leid\u017eian\u010di\u0173 paleisti \u201eDeepSeek R1\u201c vietoje \u012fvairiose operacin\u0117se sistemose, \u012fskaitant \u201eWindows\u201c, \u201eMacOS\u201c ir \u201eLinux\u201c.<\/p>\n<p>**Palaikomos LM Studio sistemos:**<\/p>\n<ul>\n<li>**Mac:** Suderinamas su Apple Silicon Chips (M1, M2, M3, M4), kuriuose veikia macOS 13.4 arba naujesn\u0117 versija<\/li>\n<li>**Windows:** palaiko ir x64, ir ARM architekt\u016bras (pvz., Snapdragon X Elite)<\/li>\n<li>**Linux:** reikalinga Ubuntu 20.04 arba naujesn\u0117 versija su 64 bit\u0173 architekt\u016bra<\/li>\n<\/ul>\n<p>Nors \u201eLM Studio\u201c rekomenduoja ma\u017eiausiai 16 GB RAM, kad b\u016bt\u0173 optimalus na\u0161umas, ma\u017eesniems modeliams galb\u016bt pavyks valdyti ir 8 GB. Jei turite 192 GB ar daugiau, netgi galite paleisti vis\u0105 671B model\u012f be joki\u0173 problem\u0173.<\/p>\n<ul>\n<li>Nor\u0117dami prad\u0117ti, eikite \u012f <a href=\"https:\/\/lmstudio.ai\/.how\" rel=\"noopener noreferrer nofollow\">lmstudio.ai<\/a> ir pasirinkite j\u016bs\u0173 sistemai pritaikyt\u0105 mygtuk\u0105 \u201eAtsisi\u0173sti\u201c.<\/li>\n<\/ul>\n<figure class=\"wp-block-image\"><img alt=\"Atsisi\u0173skite \u201eLM Studio\u201c.\" class=\"wp-image\" decoding=\"async\" height=\"622\" loading=\"lazy\" src=\"https:\/\/cdn.howtogeek.blog\/wp-content\/uploads\/2025\/02\/image-237-1.webp\" title=\"Atsisi\u0173skite \u201eLM Studio\u201c.\" width=\"1107\"\/><\/figure>\n<ul>\n<li>Laikykit\u0117s \u012fdiegimo nurodym\u0173, susijusi\u0173 su j\u016bs\u0173 operacine sistema.<\/li>\n<li>\u012edieg\u0119 paleiskite \u201eLM Studio\u201c ir pasirinkite \u201eSkip onboarding\u201c.<\/li>\n<\/ul>\n<figure class=\"wp-block-image\"><img alt=\"LM studijos pri\u0117mimas\" class=\"wp-image\" decoding=\"async\" height=\"670\" loading=\"lazy\" src=\"https:\/\/cdn.howtogeek.blog\/wp-content\/uploads\/2025\/02\/image-238-1.webp\" title=\"LM studijos pri\u0117mimas\" width=\"1191\"\/><\/figure>\n<ul>\n<li>Kair\u0117je esan\u010diame nar\u0161ymo meniu pasirinkite piktogram\u0105 \u201eIe\u0161koti\u201c.<\/li>\n<\/ul>\n<figure class=\"wp-block-image\"><img alt=\"Modeli\u0173 ie\u0161kokite LM studijoje\" class=\"wp-image\" decoding=\"async\" height=\"628\" loading=\"lazy\" src=\"https:\/\/cdn.howtogeek.blog\/wp-content\/uploads\/2025\/02\/image-239-1.webp\" title=\"Modeli\u0173 ie\u0161kokite LM studijoje\" width=\"1116\"\/><\/figure>\n<ul>\n<li>Dabar ie\u0161kokite norimo modelio, kur\u012f norite atsisi\u0173sti. Priklausomai nuo j\u016bs\u0173 poreiki\u0173, galite pasirinkti \u201eDeepSeek R1 Distill\u201c (\u201eQwen 7B\u201c) arba 1, 5B model\u012f.\u012esitikinkite, kad turite pakankamai saugyklos vietos, kaip nurodyta atsisiuntimo puslapyje. Nor\u0117dami prad\u0117ti proces\u0105, spustel\u0117kite mygtuk\u0105 \u201eAtsisi\u0173sti\u201c.<\/li>\n<\/ul>\n<figure class=\"wp-block-image\"><img alt=\"Modelio atsisiuntimas LM studijoje\" class=\"wp-image\" decoding=\"async\" height=\"747\" loading=\"lazy\" src=\"https:\/\/cdn.howtogeek.blog\/wp-content\/uploads\/2025\/02\/image-242-1.webp\" title=\"Modelio atsisiuntimas LM studijoje\" width=\"1328\"\/><\/figure>\n<ul>\n<li>Atsisiunt\u0119 spustel\u0117kite mygtuk\u0105 \u201e\u012ekelti model\u012f\u201c ir pasirodys pokalbio langas.<\/li>\n<\/ul>\n<figure class=\"wp-block-image\"><img alt=\"\u012ekelkite model\u012f\" class=\"wp-image\" decoding=\"async\" height=\"769\" loading=\"lazy\" src=\"https:\/\/cdn.howtogeek.blog\/wp-content\/uploads\/2025\/02\/image-243-1.webp\" title=\"\u012ekelkite model\u012f\" width=\"1367\"\/><\/figure>\n<ul>\n<li>\u012eveskite savo u\u017eklausas \u012f pokalbio lang\u0105 ir s\u0105veikaukite su modeliu vietoje. Galite sekti i\u0161tekli\u0173 naudojimo metrik\u0105, rodom\u0105 apatiniame de\u0161iniajame b\u016bsenos juostos kampe.<\/li>\n<\/ul>\n<figure class=\"wp-block-image\"><img alt=\"Kalb\u0117kit\u0117s su DeepSeek R1\" class=\"wp-image\" decoding=\"async\" height=\"707\" loading=\"lazy\" src=\"https:\/\/cdn.howtogeek.blog\/wp-content\/uploads\/2025\/02\/image-245-1.webp\" title=\"Kalb\u0117kit\u0117s su DeepSeek R1\" width=\"1257\"\/><\/figure>\n<ul>\n<li>Nor\u0117dami pakoreguoti modelio nustatymus, spustel\u0117kite piktogram\u0105 \u201eNustatymas\u201c, esan\u010di\u0105 \u0161alia modelio pavadinimo vir\u0161uje.<\/li>\n<\/ul>\n<figure class=\"wp-block-image\"><img alt=\"Modelio nustatymai\" class=\"wp-image\" decoding=\"async\" height=\"658\" loading=\"lazy\" src=\"https:\/\/cdn.howtogeek.blog\/wp-content\/uploads\/2025\/02\/image-246-1.webp\" title=\"Modelio nustatymai\" width=\"1170\"\/><\/figure>\n<p>Naudoti LM Studio vietiniam DeepSeek R1 paleidimui kompiuteryje yra paprasta ir nereikia terminalo komand\u0173 \u2013 idealus pasirinkimas tiems, kurie naujokai naudoja technologij\u0105. Nors egzistuoja tokios alternatyvos kaip Ollama, joms reikalingi galutiniai \u012fg\u016bd\u017eiai.<\/p>\n<h2 id=\"run-deepseek-r1-locally-on-phone-with-pocketpal-ai\">\u201eDeepSeek R1\u201c paleidimas vietoje mobiliajame \u012frenginyje su \u201ePocketPal AI\u201c.<\/h2>\n<p>Jei norite valdyti LLM modelius savo mobiliajame \u012frenginyje, labai rekomenduoju \u201ePocketPal AI\u201c.\u0160i programa suteikia skland\u017ei\u0105 patirt\u012f naudojant LLM modelius tiek iOS, tiek Android platformose.<\/p>\n<ul>\n<li>Atsisi\u0173skite \u201ePocketPal AI\u201c program\u0105 i\u0161 \u201e <a href=\"https:\/\/apps.apple.com\/us\/app\/pocketpal-ai\/id6502579498.how\" rel=\"noopener noreferrer nofollow\">App Store\u201c<\/a> arba \u201ePlay Store\u201c.<\/li>\n<li>Paleiskite program\u0105 ir bakstel\u0117kite \u201eEiti \u012f modelius\u201c.<\/li>\n<li>Bakstel\u0117kite \u201e+\u201c piktogram\u0105, esan\u010di\u0105 apatiniame de\u0161iniajame ekrano kampe.<\/li>\n<\/ul>\n<ul>\n<li>Pasirinkite \u201ePrid\u0117ti i\u0161 apsikabinan\u010dio veido\u201c.<\/li>\n<li>\u012e paie\u0161kos laukel\u012f \u012fveskite \u201eDeepSeek R1\u201c, kad surastum\u0117te model\u012f, kur\u012f norite \u012fdiegti, ir j\u012f pasirinkite.<\/li>\n<\/ul>\n<ul>\n<li>Spustel\u0117kite atsisiuntimo piktogram\u0105, esan\u010di\u0105 \u0161alia vieno i\u0161 galim\u0173 GGU fail\u0173.<\/li>\n<li>Baig\u0119 atsisiuntim\u0105 gr\u012f\u017ekite \u012f pagrindin\u012f ekran\u0105 ir \u0161alia atsisi\u0173sto modelio pasirinkite piktogram\u0105 \u201e\u012ekelti\u201c.<\/li>\n<\/ul>\n<ul>\n<li>J\u016bs\u0173 modelis bus \u012fkeltas ir gal\u0117site prad\u0117ti kalb\u0117tis. Kair\u0117je esan\u010diame meniu galite pasiekti pokalbi\u0173 istorij\u0105 arba keisti modelio nustatymus.<\/li>\n<\/ul>\n<p>\u0160tai j\u016bs tai turite! Nepriklausomai nuo j\u016bs\u0173 pasirinkto \u012frenginio, naudodami LM Studio arba PocketPal AI, galite be vargo nustatyti ir paleisti DeepSeek R1 modelius vietoje.<\/p>\n<h2>Da\u017enai u\u017eduodami klausimai<\/h2>\n<h3><strong>1. Kokie yra sistemos reikalavimai norint paleisti DeepSeek R1?<\/strong><\/h3>\n<p>Nor\u0117dami paleisti \u201eDeepSeek R1\u201c, tur\u0117tum\u0117te tur\u0117ti bent 8 GB RAM ma\u017eesniems modeliams, pvz., 1.5B ir 7B. Didesniems modeliams rekomenduojama tur\u0117ti 16 GB ar daugiau. Tvirtas CPU ir GPU bei pakankamai vietos saugykloje taip pat yra b\u016btini optimaliam veikimui.<\/p>\n<h3><strong>2. Ar galiu paleisti DeepSeek R1 mobiliajame \u012frenginyje?<\/strong><\/h3>\n<p>Taip! Galite paleisti \u201eDeepSeek R1\u201c mobiliuosiuose \u012frenginiuose naudodami \u201ePocketPal AI\u201c program\u0105, kuri\u0105 galima naudoti tiek \u201eiOS\u201c, tiek \u201eAndroid\u201c.Program\u0117l\u0117 leid\u017eia ie\u0161koti modeli\u0173 ir juos atsisi\u0173sti tiesiai \u012f telefon\u0105.<\/p>\n<h3><strong>3. Ar naudojant DeepSeek R1 internete kyla problem\u0173 d\u0117l privatumo?<\/strong><\/h3>\n<p>Taip, naudojant \u201eDeepSeek R1\u201c internete gali kilti problem\u0173 d\u0117l privatumo. Vietoj to pasirink\u0119 model\u012f paleisti vietoje savo \u012frenginyje, suma\u017einate \u0161i\u0105 rizik\u0105, nes j\u016bs\u0173 duomenys nebus siun\u010diami \u012f i\u0161orinius serverius.<\/p>\n<p><a class=\"xiaomi\" href=\"https:\/\/allthings.how\/how-to-run-deepseek-r1-locally-on-pc-and-mobile\/\" rel=\"noopener noreferrer nofollow\" target=\"_blank\">\u0160altinis ir vaizdai<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>DeepSeek R1 AI modelio atsiradimas i\u0161 Kinijos suk\u0117l\u0117 didel\u012f jaudul\u012f AI sektoriuje, ypa\u010d d\u0117l to, kad jis pranoksta OpenAI o1 model\u012f. Nors DeepSeek R1 yra lengvai prieinama nemokamai internete, \u0161is patogumas kelia \u012fvairi\u0173 privatumo problem\u0173. Jei norite apsaugoti savo duomenis, ta\u010diau norite i\u0161naudoti \u0161io AI modelio gali\u0105, paleisti j\u012f vietoje savo \u012frenginyje yra puiki alternatyva. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[176,123],"class_list":["post-8401","post","type-post","status-publish","format-standard","hentry","category-how-to","tag-artificial-intelligence","tag-microsoft"],"acf":[],"_links":{"self":[{"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/posts\/8401","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/comments?post=8401"}],"version-history":[{"count":1,"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/posts\/8401\/revisions"}],"predecessor-version":[{"id":8402,"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/posts\/8401\/revisions\/8402"}],"wp:attachment":[{"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/media?parent=8401"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/categories?post=8401"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/tags?post=8401"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}