LLMGauge

LLMGauge · hardware recommendations

What can your PC run?

Enter your hardware once and compare the local models that fit the current catalog’s transparent memory estimates.

Compare discrete GPUs for one model with a fixed system RAM value.

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Describe your hardware

Use the same hardware inputs as the single-model calculator.

Prefilled values are starter examples, not readings detected from your device. Edit them for your PC. Scanning is optional and starts only when you choose Scan my device.

Select Apple Silicon explicitly for a single shared memory pool. macOS or a scan never enables this mode automatically.

Optional: scan your device

This stays in your browser and reads only coarse hints. It never submits or stores hardware information.

For example, Intel Core i5 or AMD Ryzen 5.
Choose no GPU for a CPU-only evaluation.
Enter dedicated GPU memory in GiB.
Total memory available to the operating system, for example 16 GiB.
Advanced settings

Optional runtime planning

These inputs can establish a cache-memory placement assumption. They do not verify drivers, backend support, actual allocation, or speed.

Choose llama.cpp when that is the runtime you plan to use.
This is an assumption, not a capability check.
The preference is advisory and does not override the result.
Optional planning target for the FP16 KV-cache estimate. Choose a common value below or enter a custom number. In recommendations, this target is evaluated against each model’s own documented context limit. Cache memory is included in fit only when its placement is explicit; otherwise it remains advisory.