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Source channel @githubtrending · Post #14974 · Jul 19

#cplusplus ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4]. https://github.com/ikawrakow/ik_llama.cpp

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@githubtrending · Post #14743 · 05/23/2025, 02:00 PM

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#javascript#ecmascript_proposals#es2015#es2019#es6#es7#esnext#javascript#js#polyfill#ponyfill#promise#proposal#proposals#shim#symbol#weakmap core-js is a modular JavaScript library that provides polyfills for modern ECMAScript features up to 2024, including promises, symbols, collections, iterators, typed arrays, and many web standards like URL and structuredClone. It lets you use new JavaScript features in older browsers by loading only the needed parts without polluting the global namespace. It integrates well with tools like Babel and swc for optimized polyfilling. This helps you write modern, compatible code that runs smoothly across different environments, improving development efficiency and user experience. You can customize polyfill usage and even build your own tailored version for your project. https://github.com/zloirock/core-js

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#javascript #ecmascript_proposals #es2015 #es2019 #es6 #es7 #esnext #js #polyfill #ponyfill #promise #proposal #proposals #shim #symbol #weakmap