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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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djangoproject

@djangoproject · Post #520 · 12/11/2017, 11:35 AM

https://goo.gl/CMGAqy If you know the #ropes, good news! Firefox now has support for #headless mode, making it easier to use as a backend to #automated tools. You can jump ahead to learn how to use it. Browser #automation is not a new idea, but is an increasingly important part of how modern websites are built, #tested, and #deployed. #Automation setups range from scripts run on local machines to vast deployments of specialized servers running in the cloud. To this end, browsers have long supported some level of automated control, usually via third-party driver software.