{ "_id": "6adfe83f5d0f7c3164ef6955", "Package": "relm", "Title": "Local Large Language Models as Base-R Objects", "Version": "0.6.1", "Authors@R": "c(person(\"Alessandro\", \"Vadala\", , \"vadale93@gmail.com\", role = c(\"aut\", \"cre\", \"cph\")),\nperson(\"ggml authors\", role = c(\"ctb\", \"cph\"), comment = \"Bundled llama.cpp and ggml (MIT)\"),\nperson(\"Authors of the bundled Rust and native dependencies\", role = c(\"ctb\", \"cph\"),\ncomment = \"Individual authors, copyrights and licenses are listed in AUTHORS, RUST-NOTICES and THIRD-PARTY-NOTICES\"))", "Description": "Load and run local large language models (through a\nvendored, patched 'llama.cpp') from R and work with them as\nplain data frames and matrices in base-R idiom. Provides model\nloading and tokenization (llm(), llm_tokens()), text generation\n(llm_generate()), next-token distributions (llm_logits()),\nembeddings (llm_embed()), and mechanistic interpretability\ntools -- activation tracing (llm_trace()), activation steering\n(llm_steer()), neuron ablation (llm_ablate()), and grouped\nstatistical probes (llm_probe()). Vision-language models loaded\nwith their projector take image input in generation and\nembeddings. A checksum-verified downloader (llm_download())\nfetches pinned models.", "License": "MIT + file LICENSE | Apache License (== 2.0)", "Copyright": "See inst/AUTHORS, inst/RUST-NOTICES and\ninst/THIRD-PARTY-NOTICES for bundled source authorship,\ncopyrights and licenses.", "URL": "https://github.com/Vadale/R-ebirth,\nhttps://vadale.r-universe.dev/relm", "BugReports": "https://github.com/Vadale/R-ebirth/issues", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "8.0.0", "VignetteBuilder": "quarto", "Config/testthat/edition": "3", "Config/rextendr/version": "0.5.0", "SystemRequirements": "Cargo (Rust's package manager) >= 1.85.0, rustc >=\n1.85.0, cmake (>= 3.28), xz", "Config/pak/sysreqs": "cmake libzstd-dev xz-utils libclang-dev", "Repository": "https://vadale.r-universe.dev", "Date/Publication": "2026-10-26 20:04:51 UTC", "RemoteUrl": "https://github.com/Vadale/R-ebirth", "RemoteRef": "HEAD", "RemoteSha": "b90a6b373b3bbe82a7702624554df41370c7b025", "RemoteSubdir": 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