HowieHwong / TrustLLM
[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI toolkit for local models, compatible APIs and AI agent orchestration.
Why this job: topics: evaluation, llm-evaluation, benchmark
What it does
TrustLLM is an open research toolkit for evaluating the trustworthiness of large language models across six dimensions. Run the ICML 2024 benchmark with local weights or a model API, and keep the data, settings, and results together.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 36 days ago
- Stars
- 635
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.4.0
- Released 36 days ago
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 80% closed
- 7 still open
- Pull requests
- 13 merged
- 1 waiting
- Releases
- 2
- 1 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 99%
- HTML 1%
Topics
- ai
- ai-agents
- benchmark
- dataset
- evaluation
- hallucination
- large-language-models
- llm
- llm-benchmark
- llm-evaluation
- llm-safety
- natural-language-processing
Project record
- JobEvals and observability
- StatusListed
- Commits315
- Forks69
- Watching8
- Stars in 28 days+3
- CreatedDec 23, 2023
- First seen by usNov 7, 2026
- CheckedNov 7, 2026