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A complete, hands-on guide to running uncensored open-weight LLMs — where you control them.\n\nLearn what abliteration actually does to a network's weights, how to read the Gemma 3, Qwen3, Llama 3.1, gpt-oss and GLM variant maze, and how to install, run, tune, serve and build on every major release — ending with a full chapter that walks you through abliterating a model yourself.\n\nBy the end, you'll be able to:\n— Run any major abliterated model on your own hardware, from a laptop to a 24GB GPU\n— Pick the right quantization and model size for your exact VRAM budget, without guesswork\n— Deploy a production-grade API server (vLLM, llama.cpp, Ollama, Docker) with proper security\n— Build a working RAG application and a tool-calling agent on top of an uncensored model\n— Abliterate a model yourself, from scratch, with complete working code\n\n11 chapters · 11 labs · 60+ runnable commands · 5 runtime stacks · 256K max context handled

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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