This repository walks through implementing a ChatGPT like language model in PyTorch, step by step.
LLM Course
This LLM course combines learning roadmaps with Google Colab notebooks for studying large language models.
About LLM Course
LLM Course is a GitHub repository that organizes study of large language models into roadmaps with Google Colab notebooks. It is divided into LLM Fundamentals covering mathematics, Python, and neural networks, LLM Scientist focused on building models, and LLM Engineer focused on creating and deploying LLM-based applications.
It includes notebooks and articles on fine-tuning, quantization, model merging, and related tools, with examples for Llama, Mistral, and CodeLlama models and quantization formats including GGUF and GPTQ.
Key features
- Learning roadmaps split into fundamentals, scientist, and engineer tracks
- Colab notebooks for fine-tuning Llama, Mistral, and CodeLlama models
- Quantization guides for GGUF, GPTQ, EXL2, AWQ, and HQQ formats
- Notebooks for merging models with MergeKit and creating MoEs
- Utilities for model evaluation, dataset deduplication, and abliteration
- Introductory material on math, Python, and neural networks
Best for: Learners who want structured roadmaps and hands-on notebooks for working with large language models.
Good for
- Open-source repository combining roadmaps with executable notebooks
- Covers fundamentals, model building, and application deployment in one place
- Includes hands-on examples for fine-tuning, quantization, and merging
LLM Course at a glance
- Category
- Education & Learning › Learn to Code
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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