Hannibal046/Awesome-LLM

Project overview

It combines references to LLM papers, leaderboards, models, data, evaluation tools, and educational courses into a single categorized list.

Project type

Learning Resources

Use cases

Learning & Education

Deployment

Refer to project documentation

License

CC0-1.0

Best for

• Researchers, developers, and educators looking for a categorized index of links covering LLM papers, tools, and tutorials.

Key capabilities

• Collects milestone papers and references to papers covering other LLM research directions.
• Curates links to LLM training frameworks, deployment tools, data resources, evaluation resources, inference projects, and applications without claiming to implement those tools.
• Collects links to publicly available LLM checkpoints and APIs.
• Curates links to courses, tutorials, educational videos, and other learning materials about LLMs.

Limitations and risks

• Selection is opinionated, and pull requests whose suitability is uncertain may remain open for community voting.

Getting started

• Setup difficulty, reasons, and the first success path are not documented.

Evidence and sources

• README: Here is a curated list of papers about large language models, especially relating to ChatGPT. It also contains frameworks for LLM training, tools to deploy LLM, courses and tutori…
• GitHub project description: Awesome-LLM: a curated list of Large Language Model
• README: - [Milestone Papers](#milestone-papers) - [Other Papers](#other-papers) - [LLM Leaderboard](#llm-leaderboard) - [Open LLM](#open-llm) - [LLM Data](#llm-data) - [LLM Evaluation](#l…
• README: - [llm-course](https://github.com/mlabonne/llm-course) - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
• README: This is an active repository and your contributions are always welcome!

Reviewed at: 2026-07-17T10:31:11Z

Open original GitHub project