ai frameworks

Cut through AI repo chaos with a Linux-first, copy-paste guide to running powerful open-source models locally—no cloud, no guesswork: install essentials via apt/dnf/zypper, spin up offline LLMs with llama.cpp, prototype NLP with Transformers, expose a tiny FastAPI service, and version data with DVC, plus pragmatic tips to script, cache, monitor, and productionize your private stack.