[{"data":1,"prerenderedAt":146},["ShallowReactive",2],{"blog-one-model-hub":3,"surround-one-model-hub":112,"i-tabler:chevron-down":117,"i-tabler:menu-2":122,"i-tabler:rocket":124,"i-tabler:arrow-right":126,"i-tabler:mail":128,"i-tabler:brand-discord":130,"i-tabler:brand-x":132,"i-tabler:brand-youtube":134,"i-tabler:brand-linkedin":136,"i-tabler:brand-facebook":138,"i-tabler:brand-instagram":140,"i-tabler:brand-tiktok":142,"i-tabler:arrow-up-right":144},{"id":4,"title":5,"author":6,"body":7,"canonical":97,"date":98,"description":99,"extension":100,"image":25,"meta":101,"navigation":102,"ogImage":97,"path":103,"seo":104,"stem":105,"tags":106,"twitterCard":110,"__hash__":111},"blog/blog/one-model-hub.md","One Model Hub: Manage Every Model in One Place","Nancy Parajuli",{"type":8,"value":9,"toc":89},"minimark",[10,14,17,20,26,31,34,37,40,44,47,66,69,73,76,79,83,86],[11,12,13],"p",{},"If you have tried more than a couple of AI models, you know how quickly the setup starts to sprawl.",[11,15,16],{},"One model lives behind an API key. 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Instead of bouncing between provider setup, local model search, custom imports, new installs, and installed models, you start in one place and move from there.",[21,22],"blog-image",{"alt":23,"caption":24,"src":25},"One Model Hub preview showing centralized model discovery and management in Msty Studio","One Model Hub puts provider setup, local discovery, imports, new installs, and installed models in one place.","/blog/one-model-hub/blog-preview-image-one-model-hub.webp",[27,28,30],"h2",{"id":29},"models-should-be-easier-to-try-and-manage","Models Should Be Easier to Try and Manage",[11,32,33],{},"Model choice has become more useful and more complicated at the same time.",[11,35,36],{},"Cloud models are usually easy to start with, but you still need to connect the provider and decide which models should show up in chat. Local models give you more privacy and control, but hardware, engines, and file formats start to matter.",[11,38,39],{},"When every model source has its own setup path, exploration turns into housekeeping. One Model Hub keeps the path practical. Find a model, connect or set up the right provider, install or import what you need, and get back to using it.",[27,41,43],{"id":42},"what-lives-in-one-model-hub","What Lives in One Model Hub",[11,45,46],{},"From one area, you can:",[48,49,50,54,57,60,63],"ul",{},[51,52,53],"li",{},"Add cloud or remote providers",[51,55,56],{},"Browse local models",[51,58,59],{},"Search Hugging Face models",[51,61,62],{},"Import custom models",[51,64,65],{},"Install and manage local models",[11,67,68],{},"This keeps model testing and selection closer to the actual work. You can try a hosted model for speed, bring in a local model for private work, or keep a smaller model around for quick drafts without hunting through separate setup areas.",[27,70,72],{"id":71},"cloud-when-you-want-it-local-when-you-need-it","Cloud When You Want It, Local When You Need It",[11,74,75],{},"Msty Studio supports both web hosted models you connect to and models you run yourself on your own device.",[11,77,78],{},"Discovering and deciding which local models to use can get tricky. The best path depends on your machine, so One Model Hub lets Msty Studio route you towards the engine that makes the most sense for your setup. On Apple Silicon, that may be MLX. On other systems, it may be Ollama or LLaMA.cpp.",[27,80,82],{"id":81},"bottom-line","Bottom Line",[11,84,85],{},"One Model Hub is for the practical part of model choice. 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