[{"data":1,"prerenderedAt":55},["ShallowReactive",2],{"maker-jmorgan":3},[4,35],{"id":5,"name":6,"line":7,"ai":8,"cat":9,"year":10,"points":11,"comments":12,"rec":13,"s":14,"top":15,"kw":16,"maker":22,"domain":23,"tier":24,"attempts":25,"strip":26,"url":27,"mix":28,"praise":32,"objection":33,"sub":34},36802582,"Ollama","Run LLMs on your Mac",false,"ai",2023,284,94,"curious",-0.11,6,[17,18,19,20,21],"local llm","llama 2","run llm locally","gguf models","llama.cpp","jmorgan","github.com","legend",0,"5023031331531113115535013351133333533333","https:\u002F\u002Fgithub.com\u002Fjmorganca\u002Follama",[29,30,25,31],12,37,14,"Simple setup makes local LLMs approachable","Not clearly different from llama.cpp wrappers","local llm runner",{"id":36,"name":37,"line":38,"ai":8,"cat":9,"year":10,"points":39,"comments":40,"rec":13,"s":41,"top":42,"kw":43,"maker":22,"domain":23,"tier":46,"attempts":25,"strip":47,"url":48,"mix":49,"praise":53,"objection":54,"sub":34},37661755,"Ollama for Linux","Run LLMs on Linux with GPU Acceleration",49,8,0.27,35,[17,21,44,45,18],"gpu acceleration","linux","shown","3000303010055130505005333033000335000533","https:\u002F\u002Fgithub.com\u002Fjmorganca\u002Follama\u002Freleases\u002Ftag\u002Fv0.1.0",[50,51,52,52],7,11,2,"Easy install and setup that works for non-experts","Too similar to llama.cpp wrappers; marketing overstates what it adds",1793991279662]