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Train Your Own LLM Model from Scratch

train-llm-from-scratch offers a simple, step-by-step method of training a large language model from scratch, from data set download to text generation. It is a practical resource for your learning process.

Updates

  • August 2, 2026: Stars 2,086 → 8,864.

What do you learn?

  • End-to-end flow covering data download, training and text production.
  • Application method based on the inner workings of the LLM.
  • Practical use with directly operable notebooks.

How to install, how to use?

🤖 Paste this into your AI agent (Claude Code · Codex · Antigravity)

This repository (FareedKhan-dev/train-llm-from-scratch) is a tutorial on training a transformer/LLM from scratch with PyTorch. Review the README and give me a step-by-step implementation plan in Turkish: explaining the required hardware (GPU), data download and pre-processing, model configuration, training and text generation stages, in order.

Clone repository
git clone https://github.com/FareedKhan-dev/train-llm-from-scratch.git
cd train-llm-from-scratch
Install dependencies
pip install -r requirements.txt

Related dictionary terms

Who it is forThose who want to learn LLM education manually
DifficultyIntermediate–advanced Python/ML foundation
FormatJupyter notebooks step by step
FeeFree · open source (MIT)
LicenseMIT · ayrıntı aşağıda
License: MIT · you can freely use, adapt and share content and code.

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-05-30: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.