Package: edgemodelr 0.4.1

edgemodelr: Local Large Language Model Inference Engine

Enables R users to run large language models locally using 'GGUF' model files and the 'llama.cpp' inference engine. Provides a complete R interface for loading models, generating text completions, extracting vector representations, and streaming responses in real-time. Includes grammar-constrained generation for structured output, text classification, and retrieval-augmented generation (RAG) pipelines. Supports local inference without requiring cloud APIs or internet connectivity, ensuring complete data privacy and control. Based on the 'llama.cpp' project by Georgi Gerganov (2023) <https://github.com/ggml-org/llama.cpp>.

Authors:Pawan Rama Mali [aut, cre, cph], Georgi Gerganov [aut, cph], The ggml authors [cph], Jeffrey Quesnelle [ctb, cph], Bowen Peng [ctb, cph], pi6am [ctb], Ivan Yurchenko [ctb], Dirk Eddelbuettel [ctb, rev]