LLMs-from-scratch and llms-from-scratch
These are competitors—both provide step-by-step implementations of transformer-based LLMs in PyTorch, with the first being a substantially more mature and widely-adopted version of the same educational approach.
About LLMs-from-scratch
rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Covers the complete pipeline from tokenization and attention mechanisms through pretraining on unlabeled data and finetuning for classification and instruction-following tasks. Includes practical implementations of multi-head attention, causal masking, and parameter-efficient techniques like LoRA, alongside code for loading pretrained model weights. Organized as Jupyter notebooks and standalone Python scripts that progressively build a functional GPT architecture while explaining each component's role in modern LLM training.
About llms-from-scratch
analyticalrohit/llms-from-scratch
Build a ChatGPT like LLM from scratch in PyTorch, explained step by step.
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