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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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@dooooshno · Post #921 · 03/28/2024, 02:15 PM
Пришло время! Я работаю саунд продюссером, SFX, игры, реклама и участие в создании архитектуры проекта #musicproduction#sounddesign#composer#soundegineer И конечно свожу треки, очень красиво и главное бережно к артисту и его душевной организации) Если вам или кому-то из ваших друзей/знакомых нужен такой специалист – Смело пишите , отправляйте ему это сообщение 💼Портфолио: http://leonovaportfolio.tilda.ws/page44575443.html
@djangoproject · Post #535 · 12/28/2017, 10:12 AM
https://docs.pipenv.org/ #Pipenv — the officially recommended #Python#packaging tool from Python.org, free (as in freedom). Pipenv is a tool that aims to bring the best of all packaging worlds (#bundler, #composer, #npm, #cargo, #yarn, etc.) to the Python world. #Windows is a first–class citizen, in our world. It automatically creates and manages a #virtualenv for your projects, as well as adds/removes #packages from your #Pipfile as you install/uninstall packages. It also generates the ever–important Pipfile.lock, which is used to produce deterministic builds.