🛡️ 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)

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