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Build a modern LLM from scratch. Every line commented. Explained like we are five.

2,236 starsJupyter Notebook

How-to-Train-Your-GPT

by RaiyanYahya·May 9, 2026·1 point·0 comments
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AI Analysis

●●●BangerCozyBig Brain

Build a LLaMA-style model from scratch with zero ML prerequisites or math.

Strengths
  • •Explaining variance scaling and RoPE with 'party analogies' instead of dense linear algebra.
  • •3,900 lines of 100% commented code covers tokenizer, attention, and training loop.
  • •No PyTorch black boxes; you write the backpropagation and inference engine manually.
Weaknesses
  • •Pure Python implementation will be too slow for training on large datasets.
  • •LLaMA architecture moves fast; maintaining parity with SOTA requires constant updates.
Category
Education
Target Audience

Python developers, students, engineers wanting to understand Transformers

Similar To

nanoGPT · The Elements of Computing Systems · Fast.ai

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