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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 #14956 · 07/14/2025, 11:30 AM

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#dart#android#cross_platform#expense_tracker#flutter#grocery_list#ios#kitchenowl#mobile_app#recipe_manager#self_hosted KitchenOwl is a helpful app for managing your grocery shopping and recipes. It allows you to create and share shopping lists with others, which is great for families. You can also store and share recipes, plan meals, and track how much you spend. The app is open-source and free, meaning you can use it without paying and even help improve it. It works on many devices, including phones and computers, and can be used offline too. This makes shopping easier and helps you stay organized. https://github.com/TomBursch/kitchenowl

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#dart #android #cross_platform #expense_tracker #flutter #grocery_list #ios #kitchenowl #mobile_app #recipe_manager #self_hosted