Originally published on AI Tech Connect.
What this guide gives you This is a how-to, not a leaderboard write-up. The headline is simple: a dense 27-billion-parameter coding model now reportedly fits on a single 24GB consumer GPU at Q4 quantisation, runs entirely on your own hardware, and is good enough for day-to-day agentic coding. For an AI builder in Bengaluru or Bristol, that changes the maths on cost, privacy and offline working. Here is what you will walk away with: The workflow first — how to wire a local model into an agentic coding loop with editors and agents you already know. The hardware reality — what a 24GB card actually buys you, and the VRAM arithmetic behind quantisation choices. The runtimes — Ollama for the fastest start, llama.cpp for control, vLLM for throughput. The economics — a one-off GPU plus…
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