# Bespoke MiniCheck

> *“Hallucination-free answers demand verifiable grounding.  Bespoke-MiniCheck makes that easy.”*

#### What is grounded factuality?

Grounded factuality (a.k.a. textual entailment) measures whether a *claim* is supported, refuted, or not verifiable given an explicit *context* document.  The metric is critical for Retrieval-Augmented Generation (RAG): if a claim is not grounded in the retrieved context, the model has hallucinated.

#### Why Bespoke-MiniCheck?

* Best-in-class accuracy – Tops the public **LLM-AggreFact** leaderboard at 77.4 %, surpassing models that are many times larger.
* Fast – \~200 ms end-to-end latency on a single modern GPU; < 100 ms with optional optimisations.
* Lightweight – Runs comfortably on consumer laptops (MacBook-class hardware).
* Easy to integrate – Drop-in HuggingFace model with a single probability output: *support score*.


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