# mlabonne/llm-course

> Free course on large language models with roadmaps and Colab notebooks, covering math and neural networks through training, quantization, and deploying LLM applications.

- Magnitude: 3.4 out of 10 — Breakout
- Stars: 83,812 total · +47 stars measured 2026-10-18, 11:45–13:50 UTC, ≈ 84 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · License: Apache-2.0 · Created: 2023-06-17 · Last push: 2026-02-05
- GitHub: https://github.com/mlabonne/llm-course · Homepage: https://mlabonne.github.io/blog/ · Page: https://gitnova.dev/en/r/mlabonne/llm-course

## Useful for

- Follow the roadmap on math and neural networks before diving into LLMs
- Run a Colab notebook to fine-tune Llama or Mistral with QLoRA and DPO
- Quantize a model to GGUF or GPTQ to run it on consumer hardware

## Why it’s here

- Star-counter measurements on 2026-10-18 (UTC), 11:45–13:50: 83765 → 83812 stars (+47). This is the change over that interval.
- Estimated end-of-day forecast: about +84 stars, using observed gains and the previous day.
- Over the last two days the pace is 2.5× that of the previous week and a half.
- GitHub Trending today: #11, +81 stars.
- About 16 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 9,772
- Issues and pull requests: 143
- Watchers: 764
- Average over the last week: 53 per day
- Usual pace: 31 per day
- Stars in the last hour (measured): 21

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-19 … 2026-10-18: 16, 23, 23, 27, 20, 24, 22, 30, 17, 28, 28, 15, 16, 14, 18, 10, 16, 24, 19, 19, 65, 64, 45, 47, 41, 28, 36, 38, 100, 47

## Spotted in now

- GitHub Trending today: #11, +81 stars

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-18 13:59 UTC, updated every 30 minutes.