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llm-hallucination-detector
nuriasane/llm-hallucination-detector
llm-hallucination-detector is a text classification model from nuriasane. Use it when you need a label for a piece of text. It is set up for sentence-transformers. The card lists the license as mit.
A logistic regression classifier trained on sentence embeddings to detect hallucinations in LLM-generated responses.
Access
Public
Updated Apr 30, 2026
Repo size
38.7 KB
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Repo makeup
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.joblib19.3 KB · 89%
At a glance
- Task
- Text Classification
- Library
- sentence-transformers
- License
- mit
- Access
- Public
- Created
- Apr 30, 2026
- Updated
- Apr 30, 2026
- SHA
- f36ac7b9
Try a prompt
Model card
From the Hugging Face model README
LLM Hallucination Detector
A logistic regression classifier trained on sentence embeddings to detect hallucinations in LLM-generated responses.
Classes
- factual - the answer is correct
- partial - the answer contains some errors
- hallucination - the answer is fabricated or incorrect
Usage
The model takes a (question, answer) pair, embeds both with sentence-transformers/all-MiniLM-L6-v2, concatenates the vectors, and predicts the class.
Demo
Dataset
- Task
- Text Classification
- Library
- sentence-transformers
- License
- mit
- Created
- Apr 30, 2026
- Updated
- Apr 30, 2026