LLMs From Scratch Reaches 100,000 GitHub Stars

The open-source repository 'LLMs from Scratch' has surpassed 100,000 GitHub stars, reflecting growing interest in educational implementations of large language models. The repository includes complete implementations of tokenization, attention mechanisms, pretraining, and instruction fine-tuning from scratch, alongside implementations of architectures like Llama, Qwen, Gemma, and Olmo. The creator plans to continue adding new materials including attention variants and novel architectures, with a larger applied project also in development.