Introducing HallOumi-8B-classifier, a fastSOTA hallucination detection model, outperforming DeepSeek R1, OpenAI o1, Google Gemini 1.5 Pro, and Claude Sonnet 3.5 at only 8 billion parameters!
HallOumi-8B-classifier, the hallucination classification model built with Oumi, is an end-to-end binary classification system that enables fast and accurate assessment of the hallucination probability of any written content (AI or human-generated).
✔️ Fast with high accuracy
✔️ Per-claim support (must call once per claim)
Hallucinations
Hallucinations are often cited as the most important issue with being able to deploy generative models in numerous commercial and personal applications, and for good reason:
It ultimately comes down to an issue of trust — generative models are trained to produce outputs which are probabilistically likely, but not necessarily true.
While such tools are useful in the right hands, being unable to trust them prevents AI from being adopted more broadly,
where it can be utilized safely and responsibly.
Building Trust with Verifiability
To be able to begin trusting AI systems, we have to be able to verify their outputs. To verify, we specifically mean that we need to:
Understand the truthfulness of a particular statement produced by any model (the key focus of HallOumi-8B-classifier model).
Understand what information supports that statement’s truth and have full traceability connecting the statement to that information (provided by our generativeHallOumi model)
Smaller LLMs have limited capabilities and should be used with caution. Avoid using this model for purposes outside of claim verification.
Bias, Risks, and Limitations
This model was finetuned with Llama-3.1-405B-Instruct data on top of a Llama-3.1-8B-Instruct model, so any biases or risks associated with those models may be present.
@misc{oumiHalloumi8BClassifier,
author = {Panos Achlioptas, Jeremy Greer, Konstantinos Aisopos, Michael Schuler, Oussama Elachqar, Emmanouil Koukoumidis},
title = {HallOumi-8B-classifier},
month = {March},
year = {2025},
url = {https://huggingface.co/oumi-ai/HallOumi-8B-classifier}
}
@software{oumi2025,
author = {Oumi Community},
title = {Oumi: an Open, End-to-end Platform for Building Large Foundation Models},
month = {January},
year = {2025},
url = {https://github.com/oumi-ai/oumi}
}
