Train Your Own AI: The llm-madness Guide to Building a Pocket-Size Language Model

Train a Pocket-Size Language Model End-to-End: The llm-madness Handbook A laptop-friendly pipeline that takes you from raw text to a working GPT in one afternoon—no cloud credits, no PhD required. Quick-Fire Answers to the Three Questions Everyone Asks Question One-Sentence Reply What does it actually do? It chains “raw txt → tokenizer → training → visual inspection” on a single machine and leaves you with a reproducible run folder. How good is the hardware barrier? Eight gigabytes of VRAM is enough for a 30-million-parameter model; CPU-only mode is also supported (just slower). Why bother when giant models exist? You can …