Traditionally, large language models (LLMs) require high-end machines equipped with powerful GPUs due to their substantial memory and compute demands. However, recent advances have led to the emergence of smaller LLMs that can efficiently run on consumer-grade hardware. Tools like llama.cpp enable running these models directly on CPUs, making LLMs more accessible than ever. Installing and Running…