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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:
```bash
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) |