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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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@NEASingapore · Post #915 · 10/14/2024, 05:36 AM

Give your e-waste a second life by recycling them this International E-waste Day 📱💻♻️ Find out more about how to recycle your e-waste at go.gov.sg/e-waste Let’s also reduce the amount of e-waste generated by: - Considering if you really need to buy new a product or if the current one can be repaired - Choosing second-hand products over new products - Donating devices that are in good condition to those who could put them to better use #RecycleRight#RecycleOurEWaste#IEWD2024#InternationalEWasteDay2024#DataSecurity