Local LLM hardware tool

Find local AI models that should fit your PC.

Enter your CPU, GPU, VRAM, RAM, and target workflow. OpenSourcesAI will suggest good, better, and best model profiles to try, plus the local runtime path that makes the most sense for your machine.

This checker uses practical rules, not live benchmarks. Treat the result as a starting point before testing a quantized model locally.

Compare local LLM tools →Browse model profiles →

Enter your PC specs

This rule-based checker estimates which OpenSourcesAI model profiles are realistic for your hardware. It is a starting point, not a benchmark.

Browse all models

Hardware readout

Detected tier: mid-high

Runtime suggestion: Start with Ollama or LM Studio and prefer 4-bit quantized models.

If your GPU is shared-memory Apple silicon or an integrated GPU, treat the VRAM field as an estimate. Real performance depends on quantization, context length, drivers, and runtime support.

Next steps after choosing a model

RuntimeOllama

Use for simple local model testing and local API workflows.

DesktopLM Studio

Use for desktop model discovery, downloads, and local serving.

Chat UIOpen WebUI

Add a browser chat layer on top of local model backends.

GuideWindows local LLM setup

Use the setup guide before installing a full local stack.