Tiny LLM Playground

People want to understand how language models work but find it intimidating. This is a lightweight, educational LLM (9M params) that trains in minutes on free cloud GPUs and lets you swap in custom personalities. Users can fork and experiment without needing ML expertise.

Hobbyist interest in understanding LLMs from the inside has grown sharply since 2023, driven by curiosity about how tools like ChatGPT actually work — and a wave of accessible hardware like free Colab tiers and consumer GPUs that make small-scale training feasible for the first time. Andrej Karpathy's `nanoGPT` and similar open-source projects already occupy this space with strong community traction, meaning the educational niche isn't empty and the bar for differentiation is high. Revenue is the core problem: educational tinkering tools rarely convert to paid because the audience skews toward learners who exhaust free tiers and move on, making a sustainable revenue band genuinely hard to see without a clear path to a course, certification, or enterprise training angle. The most likely failure mode is building a polished version of something people can already assemble themselves in an afternoon from existing repos, leaving no compelling reason to return or pay.