metadata
language: en
license: apache-2.0
tags:
- slm
- rag
- hallucination-guard
- logits-processor
- pytorch
- transformers
🛡️ De-Hallucinator
An inline token-probability uncertainty guard and semantic fact-checking engine for Small Language Models (SLMs).
De-Hallucinator extends the Hugging Face LogitsProcessor pipeline to intercept text generation token-by-token. The moment an SLM drops an uncertain token below a configured logprob threshold, the generation sequence halts instantly, triggers a quantized NLI cross-encoder factual pass against your grounding context, and forces an immediate End-of-Sentence (EOS) cutoff if the assertion fails.
🚀 Installation
You can install the compiled wheel asset directly from this Hugging Face repository:
pip install [https://huggingface.co/YOUR_HF_USERNAME/YOUR_REPO_NAME/resolve/main/de_hallucinator-0.1.0-py3-none-any.whl](https://huggingface.co/YOUR_HF_USERNAME/YOUR_REPO_NAME/resolve/main/de_hallucinator-0.1.0-py3-none-any.whl)