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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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sequential.js108 linesDownload Raw Back to src
1import {interpolate, interpolateRound} from "d3-interpolate";2import {identity} from "./continuous.js";3import {initInterpolator} from "./init.js";4import {linearish} from "./linear.js";5import {loggish} from "./log.js";6import {symlogish} from "./symlog.js";7import {powish} from "./pow.js";8 9function transformer() {10  var x0 = 0,11      x1 = 1,12      t0,13      t1,14      k10,15      transform,16      interpolator = identity,17      clamp = false,18      unknown;19 20  function scale(x) {21    return x == null || isNaN(x = +x) ? unknown : interpolator(k10 === 0 ? 0.5 : (x = (transform(x) - t0) * k10, clamp ? Math.max(0, Math.min(1, x)) : x));22  }23 24  scale.domain = function(_) {25    return arguments.length ? ([x0, x1] = _, t0 = transform(x0 = +x0), t1 = transform(x1 = +x1), k10 = t0 === t1 ? 0 : 1 / (t1 - t0), scale) : [x0, x1];26  };27 28  scale.clamp = function(_) {29    return arguments.length ? (clamp = !!_, scale) : clamp;30  };31 32  scale.interpolator = function(_) {33    return arguments.length ? (interpolator = _, scale) : interpolator;34  };35 36  function range(interpolate) {37    return function(_) {38      var r0, r1;39      return arguments.length ? ([r0, r1] = _, interpolator = interpolate(r0, r1), scale) : [interpolator(0), interpolator(1)];40    };41  }42 43  scale.range = range(interpolate);44 45  scale.rangeRound = range(interpolateRound);46 47  scale.unknown = function(_) {48    return arguments.length ? (unknown = _, scale) : unknown;49  };50 51  return function(t) {52    transform = t, t0 = t(x0), t1 = t(x1), k10 = t0 === t1 ? 0 : 1 / (t1 - t0);53    return scale;54  };55}56 57export function copy(source, target) {58  return target59      .domain(source.domain())60      .interpolator(source.interpolator())61      .clamp(source.clamp())62      .unknown(source.unknown());63}64 65export default function sequential() {66  var scale = linearish(transformer()(identity));67 68  scale.copy = function() {69    return copy(scale, sequential());70  };71 72  return initInterpolator.apply(scale, arguments);73}74 75export function sequentialLog() {76  var scale = loggish(transformer()).domain([1, 10]);77 78  scale.copy = function() {79    return copy(scale, sequentialLog()).base(scale.base());80  };81 82  return initInterpolator.apply(scale, arguments);83}84 85export function sequentialSymlog() {86  var scale = symlogish(transformer());87 88  scale.copy = function() {89    return copy(scale, sequentialSymlog()).constant(scale.constant());90  };91 92  return initInterpolator.apply(scale, arguments);93}94 95export function sequentialPow() {96  var scale = powish(transformer());97 98  scale.copy = function() {99    return copy(scale, sequentialPow()).exponent(scale.exponent());100  };101 102  return initInterpolator.apply(scale, arguments);103}104 105export function sequentialSqrt() {106  return sequentialPow.apply(null, arguments).exponent(0.5);107}108 
Brunobkr/llama.cpp_AlgMor24_github · Team Ai