Pre-Training a Mini GPT (124M Parameters)
GPT-2 Small has 124 million parameters. That's 12 transformer layers, 12 attention heads, and 768-dimensional embeddings. You can train it from scratch on a single GPU in a few hours. Most people never do this. They use pre-trained checkpoints. But if you don't train one yourself, you don't actually understand what's happening inside the model you're building products on.
Visual edition planned
This lesson isn’t interactive yet.
It is part of the curriculum and will get the same treatment as Phase 1 — a visual cover, hands-on labs, derivations with numeric checks and a quiz. Until then, the original lesson is the best place to read it:
Part of Phase 10 — LLMs from Scratch. Use the previous / next cards below to keep browsing the phase.