huggingface / evaluation-guidebook
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
Why this job: topics: tutorial
What it does
If you've ever wondered how to make sure an LLM performs well on your specific task, this guide is for you! It covers the different ways you can evaluate a model, guides on designing your own evaluations, and tips and tricks from practical experience.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 11 months ago
- Stars
- 2,166
- +3 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 33% closed
- 4 still open
- Pull requests
- 30 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 100%
Topics
- evaluation
- evaluation-metrics
- guidebook
- large-language-models
- llm
- machine-learning
- tutorial
Project record
- JobLists and guides
- StatusListed
- Commits83
- Forks124
- Watching15
- Stars in 28 days+14
- CreatedOct 9, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026