LLM from Scratch Tutorial – Code & Train Qwen 3

Lean how to create an LLM from scratch. In this tutorial you will build Qwen 3, one line at a time. Watch gradients flow, models learn, and AI come alive in real-time. Code on Google Colab - https://colab.research.google.com/drive/12ndGn_mI7R1GTbGS8I2EvajW50esJRRk?usp=sharing GitHub - https://gist.github.com/vukrosic/94dc965a22b0892042f44fed25918598 ⭐️ Contents ⭐️ ⌨ (0:00:00) Intro & Demo ⌨ (0:01:46) Qwen 3 Architecture ⌨ (0:02:36) Prerequisites ⌨ (0:04:01) Code Setup & Imports ⌨ (0:05:26) Model Configuration ⌨ (0:08:26) Qwen 3 Specifics ⌨ (0:12:24) Training Hyperparameters ⌨ (0:17:18) Grouped Query Attention Logic ⌨ (0:18:56) Muon Optimizer Explained ⌨ (0:29:02) Data Loading & Tokenization ⌨ (0:32:37) RoPE Positional Embeddings ⌨ (0:36:56) Self-Attention Code ⌨ (0:44:28) Feed-Forward & SwiGLU ⌨ (0:47:36) Building the Final Model ⌨ (0:52:34) Evaluation & Optimizer Setup ⌨ (0:54:08) The Training Loop ⌨ (0:55:43) Running the Training ⌨ (0:58:38) Inference & Text Generation ⌨ (1:00:51) Final Results ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp 🎉 Thanks to our Champion and Sponsor supporters: 👾 Drake Milly 👾 Ulises Moralez 👾 Goddard Tan 👾 David MG 👾 Matthew Springman 👾 Claudio 👾 Oscar R. 👾 jedi-or-sith 👾 Nattira Maneerat 👾 Justin Hual -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news