mlabonne/llm-course

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

57
/ 100
Established

Covers three distinct learning paths from fundamentals through model optimization (quantization in GPTQ/GGUF/EXL2 formats) to production deployment with Gradio interfaces. Includes hands-on Colab notebooks for fine-tuning techniques like QLoRA, DPO, and ORPO, plus utilities for model merging, evaluation, and dataset deduplication using tools like Axolotl and MergeKit. Targets the Hugging Face ecosystem and emphasizes practical cloud-based training on consumer-grade hardware through quantization and parameter-efficient methods.

76,573 stars.

No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

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76,573

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8,835

Language

License

Apache-2.0

Last pushed

Feb 05, 2026

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