LLMGauge guides

Understand local LLM compatibility

Short, source-aware explanations of the memory and runtime concepts behind the calculator.

Explore the guides

Hardware basics

A practical explanation of GPU memory and why it matters when running local language models.

Model basics

Understand how lower-precision weights reduce memory use and introduce quality trade-offs.

Runtime basics

See what it means to run a local model entirely on a GPU, partly on a GPU, or on the CPU.

Runtime basics

Why the amount of text a model can consider affects memory beyond the weight file.

Using LLMGauge

Understand what the calculator checks, what its result categories mean, and where uncertainty remains.