Evaluation & TestingUQLM
Uncertainty Quantification for Language Models
- Status
- Generally available
- Last checked
- Checked · Oct 12, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
UQLM is a Python library designed to detect hallucinations in language models using advanced uncertainty quantification techniques.
UQLM stands out by offering a specialized Python library focused on detecting hallucinations in language models through advanced uncertainty quantification techniques.
When it fits — and when it doesn’t
A good fit for
Teams developing applications that rely on accurate language model outputs where hallucination detection is critical.
Researchers who need to quantify and understand the uncertainty in language model predictions.
Look elsewhere if
Projects requiring real-time processing of large volumes of text data, as UQLM may not be optimized for high-throughput scenarios.
Applications that do not require or benefit from detailed uncertainty quantification.
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited language support beyond Python
Primary development and maintenance focus is on Python, other languages have limited or no support
- 02
Small community and slow issue response times
GitHub issues are infrequently addressed by maintainers; low number of contributors
What it does well
Detects hallucinations in language models using uncertainty quantification techniques.
Provides a Python library for easy integration into existing projects.
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up UQLM
Setup steps, common gotchas and what to check after 30 days.