rentruewang / bocoel
Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 times faster with just a few lines of modular code.
Why this job: matched by what the repo talks about: benchmark, evaluation, llm, evaluat
What it does
- Accurately evaluate large language models with just tens of samples from your selected corpus.
- Uses the power of Bayesian optimization to select an optimal subset of samples for the language model to evaluate.
- Evaluate the corpus on the model in addition to evaluating the model on the corpus.
- Support for GPT2, Pythia, LLAMA and more through integration with huggingface transformers and datasets
- Modular design.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 288
- On GitHub
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 33% closed
- 6 still open
- Pull requests
- 15 merged
- 0 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| huggingface / evaluate | 2,493 | 35 days ago | Apache-2.0 | No downloads |
| janosh / matbench-discovery | 259 | yesterday | MIT | No downloads |
| Danielxu0208 / rsi_eval | 468 | 11 days ago | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Python 100%
Topics
- bayesian-optimization
- benchmarking
- evaluation
- language-model
- llm
- machine-learning
Project record
- JobEvals and observability
- StatusListed
- Commits257
- Forks15
- Watching2
- Stars in 28 days0
- CreatedDec 16, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026