small language models

The small language models tag on WindowsForum.com covers discussion of running compact local AI models on modest Windows and homelab hardware. A recent thread examines a llama.cpp experiment on a decade-old Celeron mini PC, weighing whether a local large language model can actually run on such a machine and where speed, accuracy, and security limits appear. The focus is practical: what budget hardware can realistically handle, how performance compares with expectations, and what trade-offs come with local inference. Readers interested in lightweight AI setups, older PCs, and hands-on testing will find relevant context here.