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gbnf

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A verification-first agentic engine that makes tiny local LLMs (Gemma E2B, Q4, CPU-only) reliably useful on non-prosumer hardware. Grammar-constrained decoding, deterministic orchestration, KV-cache-aware prompting, consent-based autonomy. The model stays small; the system becomes large. No cloud LLM APIs, ever.

  • Updated Aug 5, 2026

Trilingual (ES/PT/EN) NLP optimisation study: one recommender, five interchangeable engines — a TF-IDF Naive Bayes trained on its own vocabulary against four local LLMs — scored on the same 140 golden cases. LangGraph, Chroma RAG, llama.cpp, grammar-constrained decoding, and a verifier that blocks any number the code did not compute.

  • Updated Aug 12, 2026
  • Python

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