Package: Rbebelm 0.3.6-0.1.0

Rbebelm: Native 'BebeLM', 'EmbeddingGemma', and 'ColBERT' CPU Backends for R

Provides focused R interfaces to the pure-Rust 'BebeLM' CPU inference library <https://github.com/maximecb/bebelm> and a native pure-Rust implementation of the retrieval-trained 'EmbeddingGemma' encoder <https://ai.google.dev/gemma/docs/embeddinggemma>, and a native profile for LiquidAI's retrieval-trained LFM2.5-'ColBERT' GGUF encoder. The package exposes GGUF model loading, tokenizer access, semantic text embeddings, late-interaction token vectors and MaxSim scoring, streaming generation events, persistent conversation agents, 'BebeLM' tool-call parsing, R tool dispatch, and Rust-thread async generation jobs. Loaded agents share model weights in process through Rust reference-counted handles, and GGUF files are mapped read-only so repeated loads of the same file can share physical pages through the operating-system page cache. Native libraries are built as runtime-selected CPU backends so portable R binaries can use scalar code by default and optimized SIMD backends when available.

Authors:Sounkou Mahamane Toure [aut, cre], Maxime Chevalier-Boisvert [cph], Hiroaki Yutani [cph], llama.cpp contributors [ctb, cph]