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[GitHub Trending] FareedKhan-dev/train-llm-from-scratch

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Tutorial for training LLM from scratch, highly actionable and relevant.

2026-06-01 AI/ML github.com
A straightforward method for training your LLM, from downloading data to generating text. - FareedKhan-dev/train-llm-from-scratch
Summary

FareedKhan-dev's open-source repository implements a transformer from scratch in PyTorch, based on the 'Attention is All You Need' paper, and provides scripts to train billion- or million-parameter LLMs on a single GPU. The 13M parameter model trains on The Pile dataset and includes a detailed GPU memory comparison for scaling up to 2B parameters. The author, seeking a PhD position, structures the code with modular components (MLP, attention, transformer block) and offers step-by-step explanations.

Key Takeaways
  • Clone the repo to train a 13M parameter transformer on a single T4 GPU using PyTorch and The Pile dataset, then scale up using the provided GPU memory guide.
Why it matters

For a solutions architect focused on AI/ML and open-source, this repo offers a hands-on, educational path to understand transformer internals and train small LLMs on limited hardware, directly applicable to prototyping or teaching platform engineering teams.

Author

FareedKhan-dev