Brunobkr/llama.cpp_AlgMor24_github
ΩFFFΣLLIa • llama.cpp • AlgMor24 ██████╗ ███████╗███████╗███████╗██╗ ██╗ ██╗ █████╗ ██╔═══██╗██╔════╝██╔════╝██╔════╝██║ ██║ ██║██╔══██╗ ██║ ██║█████╗ █████╗ █████╗ ██║ ██║ ██║███████║ ██║ ██║██╔══╝ ██╔══╝ ██╔══╝ ██║ ██║ ██║██╔══██║ ╚██████╔╝██║ ██║ ███████╗███████╗███████╗██║██║ ██║ ╚═════╝ ╚═╝ ╚═╝ ╚══════╝╚══════╝╚══════╝╚═╝╚═╝ ╚═╝ High-Performance LLM / VLM Inference & Autonomous Agentic Ecosystem… See the full description on the dataset page: https://huggingface.co/datasets/Brunobkr/llama.cpp_AlgMor24_github.
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1import defaultSource from "./defaultSource.js";2import beta from "./beta.js";3import geometric from "./geometric.js";4 5export default (function sourceRandomBinomial(source) {6 var G = geometric.source(source),7 B = beta.source(source);8 9 function randomBinomial(n, p) {10 n = +n;11 if ((p = +p) >= 1) return () => n;12 if (p <= 0) return () => 0;13 return function() {14 var acc = 0, nn = n, pp = p;15 while (nn * pp > 16 && nn * (1 - pp) > 16) {16 var i = Math.floor((nn + 1) * pp),17 y = B(i, nn - i + 1)();18 if (y <= pp) {19 acc += i;20 nn -= i;21 pp = (pp - y) / (1 - y);22 } else {23 nn = i - 1;24 pp /= y;25 }26 }27 var sign = pp < 0.5,28 pFinal = sign ? pp : 1 - pp,29 g = G(pFinal);30 for (var s = g(), k = 0; s <= nn; ++k) s += g();31 return acc + (sign ? k : nn - k);32 };33 }34 35 randomBinomial.source = sourceRandomBinomial;36 37 return randomBinomial;38})(defaultSource);39 