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  "Title": "Vendored 'GGML' Tensor Library with C-Callable Compute API",
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  "Authors@R": "c(\nperson(given = \"Sounkou Mahamane\", family = \"Toure\", email = \"sounkoutoure@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(given = \"Georgi\", family = \"Gerganov\", role = \"cph\", comment = \"Author of the GGML library\"),\nperson(given = \"The ggml.ai / llama.cpp contributors\", role = \"cph\", comment = \"GGML CPU backend contributors\"),\nperson(given = \"Yuri\", family = \"Baramykov\", role = \"ctb\", comment = \"ggmlR: source of the vendored GGML copy and its R/CRAN-compliance I/O shim, adapted here\")\n)",
  "Description": "Vendors the CPU backend of the 'GGML' tensor library\n(<https://github.com/ggml-org/ggml>) as a static library and\nexposes its core tensor-context and matrix-multiply compute\npath through 'R_RegisterCCallable' C-callable entry points.\nThis is a carrier package: it has no high-level R modeling API\nof its own. Other R packages link to it ('LinkingTo') to build\nand compute 'GGML' tensor graphs (including quantized types\nsuch as Q4_K) from their own C or C++ code without re-vendoring\n'GGML'. The CPU and BLAS backends are built (dense products\noffload to R's own BLAS); GPU ('Vulkan') support is a possible\nfuture addition.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "SystemRequirements": "GNU make, C++17",
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  "Repository": "https://sounkou-bioinfo.r-universe.dev",
  "Date/Publication": "2026-07-07 20:27:02 UTC",
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