This Tool Finds the Perfect AI Model for Your Hardware (llmfit)

There are over 3 million models on Hugging Face and zero indication of whether any of them will actually run on your machine — so we tested a tool called llmfit that looks at your hardware and tells you exactly which models fit. We ran it on five wildly different machines, from a 2012 Raspberry Pi to an RTX 5090, to see how good its recommendations actually are (some of them are hilariously wrong). If you're tired of guessing which quantization to download, this might save you a lot of failed downloads. 🔗 Relevant Links llmfit: https://github.com/AlexsJones/llmfit ❤️ More about us Radically better observability stack: https://betterstack.com/ Written tutorials: https://betterstack.com/community/ Example projects: https://github.com/BetterStackHQ 📱 Socials Twitter: https://twitter.com/betterstackhq Instagram: https://www.instagram.com/betterstackhq/ TikTok: https://www.tiktok.com/@betterstack LinkedIn: https://www.linkedin.com/company/betterstack 📌 Chapters: 00:00 The Model Selection Problem 00:39 What Is llmfit? 01:13 How llmfit Works 01:59 The Scoring System (Quality, Speed, Fit, Context) 02:23 How the Speed Estimates Are Calculated 03:17 Community Leaderboard 03:30 Let's Test It on 5 Devices 03:40 Raspberry Pi (2012) 05:26 Luckfox Pico Ultra W 06:15 2015 MacBook Pro 07:43 M2 Max MacBook Pro 08:42 RTX 5090 09:52 Final Thoughts