{
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  "Package": "Rllm",
  "Title": "Native Quantized Matrix Products and LLM Inference over\n'Rfmalloc' Tensors",
  "Version": "0.1.0",
  "Authors@R": "person(given = \"Sounkou Mahamane\", family = \"Toure\",\nemail = \"sounkoutoure@gmail.com\", role = c(\"aut\", \"cre\"))",
  "Description": "The composition layer of the 'Rfmalloc' ecosystem: it\nregisters 'Rggml' (a vendored 'GGML' build with\nruntime-SIMD-dispatched quantized kernels) as a codec-aware\nmatrix-multiply backend for 'Rfmalloc', so that products of\nfile-backed, quantized tensors run natively in quantized space\n(weights stay 'Q4_K'/'Q6_K'/... encoded, activations are\nquantized on the fly) instead of being decoded to double first.\nCombined with 'Rgguf', which exposes 'GGUF' model weights as\nborrowed typed spans, this lets a larger-than-memory model's\nlinear layers be multiplied through 'GGML's SIMD-accelerated\ndot kernels zero-copy from the original model mapping. Typed\nsemantic programs written through an R module-and-pipe\narchitecture language describe llama, Qwen3.5, LFM2MoE,\nEmbeddingGemma, ESM-2, Evo 2 and Tiny Recursive Models. Bound\nprograms join those serializable graphs to mapped parameter\nstorage. Implemented lowerings provide persistent state, pooled\nembeddings, byte-level generation, and CPU or optional CUDA\nexecution; a reference interpreter executes the same dataflow\nthrough explicit R operator tables and structured recurrence.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "Remotes": [
    "Rfmalloc=sounkou-bioinfo/Rfmalloc/packages/Rfmalloc",
    "Rgguf=sounkou-bioinfo/Rfmalloc/packages/Rgguf",
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  "URL": "https://github.com/sounkou-bioinfo/Rfmalloc,\nhttps://sounkou-bioinfo.github.io/Rfmalloc/Rllm/",
  "BugReports": "https://github.com/sounkou-bioinfo/Rfmalloc/issues",
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  "Date/Publication": "2026-07-18 21:34:09 UTC",
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  "Author": "Sounkou Mahamane Toure [aut, cre]",
  "Maintainer": "Sounkou Mahamane Toure <sounkoutoure@gmail.com>",
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  "_created": "2026-07-21T19:31:02.000Z",
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