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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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_memoizeCapped.js27 linesDownload Raw Back to lodash-es
1import memoize from './memoize.js';2 3/** Used as the maximum memoize cache size. */4var MAX_MEMOIZE_SIZE = 500;5 6/**7 * A specialized version of `_.memoize` which clears the memoized function's8 * cache when it exceeds `MAX_MEMOIZE_SIZE`.9 *10 * @private11 * @param {Function} func The function to have its output memoized.12 * @returns {Function} Returns the new memoized function.13 */14function memoizeCapped(func) {15  var result = memoize(func, function(key) {16    if (cache.size === MAX_MEMOIZE_SIZE) {17      cache.clear();18    }19    return key;20  });21 22  var cache = result.cache;23  return result;24}25 26export default memoizeCapped;27 
Brunobkr/llama.cpp_AlgMor24_github · Team Ai