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DESCRIPTION:Running Local LLMs for Developers is a hands-on guide to private, offline AI for working programmers.
You'll install Ollama, pick models that actually fit consumer hardware, and understand exactly what quantization costs you in quality —
with real numbers, not vibes.
Then you'll wire a local model into real code through Ollama's REST API and its OpenAI-compatible endpoint,
so your existing apps switch to localhost with a two-line change.
This book is honest about the tradeoffs.
You'll learn the four legitimate reasons to go local, the four bad ones, and the hybrid routing pattern that gives you
local's cost and privacy wins without inheriting its quality ceiling.
The capstone is docchat: a fully offline document Q&A tool with citations that you can verify with the network cable unplugged.
❉ L I N K: ❉