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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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@AlterTG · Post #3176 · 08/21/2021, 06:38 PM

Установка Kotatogram на macOS¹: 1. Открываем dmg файл 2. Копируем Kotatogram из dmg образа 3. Кладём его в "/Applications"² через шестерёнку 4. Запускаем терминал³ 5. Вводим "xattr -r -d com.apple.quarantine /Applications/Kotatogram.app" 6. Запускаем Kotatogram из папки Applications ¹ - Требуется macOS Catalina или новее ² - Папка «Программы» в Finder ³ - Launchpad → Поиск → Терминал Спасибо за подсказки: @IlyaFedin, @smartman_ru, @Kylmakalle #Install#Run#Kotatogram#macOS#Catalina #Установка#Запуск#Котатограм#макос#макось