Open-source, from-scratch language model training pipeline in PyTorch

Open-source, from-scratch language model training pipeline in PyTorch

A provides a complete language pipeline built entirely from scratch in PyTorch, covering tokenization, pretraining, , and . Rather than relying on existing training frameworks, every stage is implemented directly, giving a transparent view of how a language model is actually trained at the code level.

Key points

  • Covers the full training pipeline: tokenization, pretraining, SFT, and
  • Implemented from scratch in PyTorch without relying on existing training frameworks
  • Code-level transparency makes it useful for learning and research purposes
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