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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.

sourceHugging Faceupdated 2mo agoView on Hugging Face
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sequentialQuantile.js39 linesDownload Raw Back to src
1import {ascending, bisect, quantile} from "d3-array";2import {identity} from "./continuous.js";3import {initInterpolator} from "./init.js";4 5export default function sequentialQuantile() {6  var domain = [],7      interpolator = identity;8 9  function scale(x) {10    if (x != null && !isNaN(x = +x)) return interpolator((bisect(domain, x, 1) - 1) / (domain.length - 1));11  }12 13  scale.domain = function(_) {14    if (!arguments.length) return domain.slice();15    domain = [];16    for (let d of _) if (d != null && !isNaN(d = +d)) domain.push(d);17    domain.sort(ascending);18    return scale;19  };20 21  scale.interpolator = function(_) {22    return arguments.length ? (interpolator = _, scale) : interpolator;23  };24 25  scale.range = function() {26    return domain.map((d, i) => interpolator(i / (domain.length - 1)));27  };28 29  scale.quantiles = function(n) {30    return Array.from({length: n + 1}, (_, i) => quantile(domain, i / n));31  };32 33  scale.copy = function() {34    return sequentialQuantile(interpolator).domain(domain);35  };36 37  return initInterpolator.apply(scale, arguments);38}39 
Brunobkr/llama.cpp_AlgMor24_github · Team Ai