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How To Run Open Source AI Models
by Tina Huang
💡 TLDW (Too Long; Didn't Watch)
Explains four major ways to run open source AI models, ranked from easiest to hardest
by Tina Huang
Explains four major ways to run open source AI models, ranked from easiest to hardest
Learn four major categories for running open source AI models, from simple browser playgrounds to advanced local hosting, with step-by-step workflows for each approach.
Learn what open source AI models are and their benefits
Models with publicly available components including architecture, weights, and licenses. Benefits include full control, customization, and lower costs.
0Download Olama or similar desktop model management app
Install the app, download models directly to your machine, and start chatting. Works on any usable computer for smaller models.
Access hosted models on websites like Arena.ai or Gro.com
No setup or hardware needed. Simply pick a model and start chatting. Also try Google Colab for free GPU access.
Sign up for Groq, Together AI, or Fireworks AI and get API keys
Call APIs in your code to build applications. Deploy using services like Railway or Vercel.
Rent VPS from providers like Hostinger or Hezner and SSH in
Install models and build applications. Use Docker for running multiple apps simultaneously.