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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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Architectural Shovel / Любовь Дмитриева

@arch_shovel · Post #550 · 08/04/2022, 07:31 PM

P E A C E F U L / Grooming Retreat by Gartnerfuglen + Mariana de Delás The #minimalspace (3x3 meters footprint), functions as a #groomingretreat for one person. The structure, made by local #timberframes , elevates the cocoon to have exclusive views whilst giving a sense of translucent privacy to the user. . Layers of white netting frames are interlaced throughout the interior to grant different opacities for each specific use. The subtle introvertness of the structure encourages the user to take a break from the multitasking contemporary madness, and centre on individual mental and bodily hygiene. With importance on grooming’s #meditative (not cosmetic) qualities, the space inspires the user to devote time to the reconnection of the mind to the shell. #arch_shovel#architecture#archidaily