Building a Small LLM From Scratch
kalyan_kpl · x · 2026-07-10
A minimal PyTorch implementation for training an LLM from scratch, designed for easy learning and understanding. The project features pure PyTorch code and implements GPT architecture, Flash Attention, RMSNorm, SwiGLU, RoPE, top-k/p/min-p sampling, mixed precision, gradient accumulation, and learning rate decay, alongside support for the TinyStories dataset and SentencePiece tokenizer.
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