About AICanRun
AICanRun is built by a small group of local AI enthusiasts. We are interested in a simple question: how much useful AI can run directly on the phones and Macs people already own, and how can a beginner actually get it working?
Running AI locally can mean better privacy, no subscription, and access without an internet connection. But choosing a model is confusing. Advertised RAM or unified memory is not the same as memory available to an app, model downloads come in many quantizations, and a model that technically fits may still lack a compatible beginner app or be too slow to enjoy.
What we help you answer
- Will this model fit on my exact phone or Mac configuration?
- How fast might it run?
- Which quant should I download?
- Which point-and-click app supports that exact file today?
- What are the steps from installing the app to sending the first offline message?
- What should I try if it does not fit?
Hardware fit is not app support
We calculate whether a model fits in memory, then separately check whether a current consumer app can open that model format. Ordinary phone GGUF guides usually use PocketPal; Mac reports that name an exact GGUF repository and quant usually use LM Studio; a curated Apple model may use Locally AI instead. Jan, Ollama, and Msty are offered when their specific strengths match the task. A terminal command is never inserted as a fake beginner path.
How our results work
Most results begin as estimates based on public device specifications, model file sizes, memory requirements, and memory bandwidth. We do not present an estimate as a real-device test.
- Estimated — calculated from public specifications.
- Measured — backed by reviewed real-hardware evidence.
- ✓ AICanRun verified — tested by us using our published protocol.
See how the calculations and measurement protocol work →
Data and corrections
Device specifications are checked against manufacturer documentation and reputable public sources. Model metadata and file sizes come from public model repositories and official documentation. Device pages show when their specifications were last checked, and unreleased devices are clearly marked as rumored.
Specifications, runtimes, and model files can change. If something looks wrong, email us at hey@aicanrun.com.
Independent by design
AICanRun is an independent project. We are not affiliated with device manufacturers, model publishers, model-hosting platforms, or local AI app developers. If we add affiliate links or sponsored placements, they will be clearly labeled and will never change a hardware or app-support verdict.