local AI enginellama.cpp: uses, limits and practical trial
llama.cpp is a model inference project in C and C++. It is a technical engine; choose the model and its file separately.
Sources consulted on · ggml
Directory facts
- Publisher / organisation
- ggml
- Primary use
- local AI engine
- Related directory
- Explore this family’s services
Suitable tasks
Test inference on your hardware or integrate a model server in a controlled environment.
Limits and checks
Compatibility, memory and speed depend on model, quantisation and hardware. The engine licence does not replace the model-weight licence.
A repeatable trial
Record engine version, model file, quantisation and context length. Run five fixed requests after warming up and measure latency and memory.
How to decide
Choose a configuration meeting minimum quality with memory headroom. Preserve exact versions to reproduce the trial.
Frequently asked questions
Why can two files of the same model produce different results?
Quantisation, chat templates and settings can differ. Compare files and configuration rather than the commercial name alone.
Official documentation and scope
The overview relies on the documents below. The trial and decision criteria are editorial advice, not benchmark results. Prices, quotas and models are not fixed here: check the current offer before purchase.