Tiny Model Hardware Checker
Check if small LLMs can run on your hardware — from smartwatches to servers
Select Model
Quick RAM Check
Hardware Compatibility Matrix
Did You Know?
Tips for Running Tiny Models
Related Free AI Tools
Why Tiny Model Hardware Checker Is Worth Using
Check if a small, quantized open-source model (Phi-3, Llama 3 8B) will run smoothly on your specific iPhone, Mac, or PC. Free. This page is built for people who want a fast path to a working result, not a vague prompt-and-pray workflow. If you need a more reliable first draft, cleaner output, or a repeatable workflow you can hand to a teammate, Tiny Model Hardware Checker is designed to shorten that path.
Most visitors use Tiny Model Hardware Checker because they need something specific done now: a deliverable, a decision, or a workflow checkpoint. The sections below show the fastest way to get value from the tool and the adjacent pages that help you keep going.
How to Use Tiny Model Hardware Checker
Determine if you can cut the cloud cord and run AI on the edge.
- 1Select a Tiny/Small LLM (<14B parameters)
- 2Select your exact local device (e.g., iPhone 15 Pro, M1 MacBook Air)
- 3See the estimated tokens-per-second and memory usage
- 4Get instructions for the best app to run it locally (LM Studio/Ollama/MLC)
Who Is Tiny Model Hardware Checker For?
For consumers and developers looking to run private AI locally.
Mobile Developers
Design apps with local-first inference
Privacy Advocates
Run smart models without sending data to OpenAI
What a Good Result Looks Like
A strong outcome from Tiny Model Hardware Checker is not just “some output.” It should be usable with minimal cleanup, aligned to the task you opened the page for, and specific enough that you can paste it into the next step of your workflow without rewriting everything from scratch.
If the first pass feels too generic, use the use cases, FAQs, and related pages here to tighten the scope. That usually produces better results faster than starting over in a blank chat.