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Show HN: I built a tiny LLM to demystify how language models work

0.4987
Chimera Difficulty Score
a synthesis of Flesch-Kincaid, Coleman-Liau, SMOG, and Dale-Chall readability metrics
A ~9M parameter LLM that talks like a small fish. This project exists to show that training your own language model is not magic. No PhD required. No massive GPU cluster. One Colab notebook, 5 minutes, and you have a working LLM that you built from scratch — data generation, tokenizer, model architecture, training loop, and inference. If you can run a notebook, you can train a language model. It w...
GuppyLM presents itself as a democratizing force in AI, stripping away the mystique surrounding language model development by offering a transparent, reproducible, and accessible pipeline. At its core, the project is a pedagogical tool, demonstrating that the fundamentals of AI are not the exclusive domain of institutions or experts. This is a constructive and laudable goal, aligning with the broader movement toward open-source, interpretable AI. The model’s deliberate simplicity—vanilla transfo...