llama3-from-scratch-zh

Llama3 from Scratch zh is an open-source educational implementation that explains the internal architecture of Meta's Llama 3 language model through step-by-step Python and PyTorch code. It reconstructs major Transformer components using explicit tensor operations and matrix calculations. The project demonstrates how to load pretrained Llama 3 weights and examine their structure. Readers can explore tokenization, embedding layers, attention calculations, normalization, and feed-forward networks. It explains rotary positional embeddings and grouped-query attention through executable examples. Detailed code walkthroughs show how intermediate representations contribute to final token predictions. The repository provides Chinese-language explanations, Jupyter notebooks, and Google Colab resources. It is intended for developers and researchers studying large language model internals rather than training a production model.