[{"data":1,"prerenderedAt":141},["ShallowReactive",2],{"blog-list":3},[4],{"id":5,"title":6,"body":7,"date":132,"description":133,"extension":134,"meta":135,"navigation":136,"path":137,"seo":138,"stem":139,"__hash__":140},"blog\u002Fblog\u002Fhow-to-run-llama3-locally.md","How to Run Llama 3 Locally with Ollama",{"type":8,"value":9,"toc":125},"minimark",[10,27,32,42,46,80,84,100,104,118,121],[11,12,13,14,18,19,26],"p",{},"Running ",[15,16,17],"strong",{},"Llama 3"," locally is easier than ever thanks to ",[20,21,25],"a",{"href":22,"rel":23},"https:\u002F\u002Follama.com",[24],"nofollow","Ollama",". This guide walks you through the entire process in under 10 minutes.",[28,29,31],"h2",{"id":30},"prerequisites","Prerequisites",[33,34,35,39],"ul",{},[36,37,38],"li",{},"macOS, Linux, or Windows (WSL2)",[36,40,41],{},"8 GB RAM minimum (16 GB recommended for 8B model)",[28,43,45],{"id":44},"step-1-install-ollama","Step 1: Install Ollama",[47,48,53],"pre",{"className":49,"code":50,"language":51,"meta":52,"style":52},"language-bash shiki shiki-themes github-light github-dark","curl -fsSL https:\u002F\u002Follama.com\u002Finstall.sh | sh\n","bash","",[54,55,56],"code",{"__ignoreMap":52},[57,58,61,65,69,73,77],"span",{"class":59,"line":60},"line",1,[57,62,64],{"class":63},"sScJk","curl",[57,66,68],{"class":67},"sj4cs"," -fsSL",[57,70,72],{"class":71},"sZZnC"," https:\u002F\u002Follama.com\u002Finstall.sh",[57,74,76],{"class":75},"szBVR"," |",[57,78,79],{"class":63}," sh\n",[28,81,83],{"id":82},"step-2-pull-the-llama-3-model","Step 2: Pull the Llama 3 Model",[47,85,87],{"className":49,"code":86,"language":51,"meta":52,"style":52},"ollama pull llama3\n",[54,88,89],{"__ignoreMap":52},[57,90,91,94,97],{"class":59,"line":60},[57,92,93],{"class":63},"ollama",[57,95,96],{"class":71}," pull",[57,98,99],{"class":71}," llama3\n",[28,101,103],{"id":102},"step-3-chat-with-it","Step 3: Chat with It",[47,105,107],{"className":49,"code":106,"language":51,"meta":52,"style":52},"ollama run llama3\n",[54,108,109],{"__ignoreMap":52},[57,110,111,113,116],{"class":59,"line":60},[57,112,93],{"class":63},[57,114,115],{"class":71}," run",[57,117,99],{"class":71},[11,119,120],{},"That's it — you now have a fully private, offline AI assistant running on your hardware.",[122,123,124],"style",{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":52,"searchDepth":126,"depth":126,"links":127},2,[128,129,130,131],{"id":30,"depth":126,"text":31},{"id":44,"depth":126,"text":45},{"id":82,"depth":126,"text":83},{"id":102,"depth":126,"text":103},"2025-05-01","A step-by-step guide to running Meta's Llama 3 on your own machine using Ollama — no cloud required.","md",{},true,"\u002Fblog\u002Fhow-to-run-llama3-locally",{"title":6,"description":133},"blog\u002Fhow-to-run-llama3-locally","UbATtsyjNwR7E3BAFHAC909sG1hvOdldDUz_VeEitS0",1780439429519]