mlabonne

    mlabonne/llm-course

    #230 this week

    Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

    education
    llm
    machine-learning
    course
    large-language-models
    roadmap
    Apache-2.0
    83.3K stars
    9.7K forks
    83.3K GitHub watchers
    Updated Oct 5, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #230 of 2,841 repositories GStars tracks this week (top 8%).

    The project lists 3 contributors on GitHub.

    Use Cases & Benefits

    • Provides a comprehensive free course with roadmaps and Colab notebooks to learn about large language models (LLMs) from fundamentals to application and deployment.
    • Offers hands-on, interactive learning with ready-to-use Colab notebooks covering fine-tuning, quantization, model merging, and evaluation techniques for LLMs.
    • Use for gaining foundational knowledge in mathematics, Python, and neural networks essential for understanding LLMs and machine learning.
    • Use for learning advanced LLM building techniques including architecture, pre-training, fine-tuning, and optimization with practical code examples.
    • Use for deploying and creating LLM-based applications with guides on quantization, model merging, and building chat interfaces using free cloud resources.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present

    Watch-outs

    • No commits in the last six months (last push Feb 2026).
    • No GitHub releases; pin a commit or tag instead of a release.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    The LLM course is divided into three parts:

    For an interactive version of this course, I created an LLM assistant that will answer questions and test your knowledge in a personalized way on HuggingChat or ChatGPT.

    A list of notebooks and articles I wrote about LLMs.

    Excerpt from the mlabonne/llm-course README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    9.7K+263

    Open issues

    92+7

    Compared with peers in Education

    Fastest-growing repositories GStars tracks in this cohort for the week of Oct 4, by 7-day star growth

    mlabonne/llm-course compared with Education repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    rohitg00/ai-engineering-from-scratch68.7K+3.5K753 days ago
    byoungd/up68.6K+1.3K35—
    mnfst/awesome-free-llm-apis10.1K+65014—
    CarterPerez-dev/Cybersecurity-Projects7.9K+44375—
    cs341-illinois/coursebook3.7K+2975—
    mlabonne/llm-course83.3K+07—
    Category median10.1K+65075—

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