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  "Title": "Read 'GGUF' Model Files into 'Rfmalloc'-Backed Arrays",
  "Version": "0.1.0",
  "Authors@R": "c(\nperson(given = \"Sounkou Mahamane\", family = \"Toure\", email = \"sounkoutoure@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(given = \"Salvatore\", family = \"Sanfilippo\", role = \"cph\", comment = \"gguf-tools/gguflib\"),\nperson(given = \"Georgi\", family = \"Gerganov\", role = \"cph\", comment = \"GGUF format enums/structures adapted from ggml\")\n)",
  "Description": "Reads 'GGUF' model files, the file format used by the\n'llama.cpp' project (<https://github.com/ggerganov/llama.cpp>)\nto store large language model tensors and metadata, and exposes\ntheir tensors directly as 'Rfmalloc'-backed, file-backed ALTREP\nmatrices and arrays. Quantized tensor types supported by the\nvendored 'gguflib' parser\n(<https://github.com/antirez/gguf-tools>) are dequantized on\ndemand. Metadata key-value pairs and the tensor directory are\nexposed as ordinary R lists and data frames. A minimal writer\nis included to create 'GGUF' files containing 32-bit floating\npoint tensors, primarily to support round-trip testing.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "Remotes": [
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  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
  "SystemRequirements": "GNU make",
  "OS_type": "unix",
  "URL": "https://github.com/sounkou-bioinfo/Rfmalloc",
  "BugReports": "https://github.com/sounkou-bioinfo/Rfmalloc/issues",
  "Config/pak/sysreqs": "make",
  "Repository": "https://sounkou-bioinfo.r-universe.dev",
  "Date/Publication": "2026-07-07 20:27:02 UTC",
  "RemoteUrl": "https://github.com/sounkou-bioinfo/Rfmalloc",
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  "Packaged": {
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    "User": "root"
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  "Author": "Sounkou Mahamane Toure [aut, cre],\nSalvatore Sanfilippo [cph] (gguf-tools/gguflib),\nGeorgi Gerganov [cph] (GGUF format enums/structures adapted from ggml)",
  "Maintainer": "Sounkou Mahamane Toure <sounkoutoure@gmail.com>",
  "_user": "sounkou-bioinfo",
  "_type": "src",
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  "_created": "2026-07-07T21:23:01.000Z",
  "_published": "2026-07-07T21:26:24.388Z",
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    "message": "Rllm: sampling in rllm_generate (temperature / top_k / top_p / seed)\n\nGreedy stays the default (temperature = 0), so existing behaviour and\ntests are unchanged; a positive temperature enables temperature-scaled\nsoftmax sampling, optionally narrowed by top_k and top_p (nucleus), with\nan optional seed for reproducibility. The sampler is pure logic over the\nlogits vector, unit-tested directly (test_sampling.R) plus an\nintegration check through rllm_generate on the synthetic model.\n\nOn SmolLM2-135M, 'Once upon a time' -> greedy ', in a land far away...';\ntemp 0.8 (seeded) -> ', there was a wise and talented scientist named\nDr. Ada...' / ', back in the good ol days...' - diverse and coherent.\n",
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    "login": "sounkou-bioinfo",
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      "role": "Suggests"
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  "_topics": [
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