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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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IRAS

@irassg · Post #1585 · 06/30/2025, 09:03 AM

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Meeting agenda: meeting Miffy? 😲 Follow along Yi Qing as she represents IRAS on the international stage in Utrecht, the Netherlands - the hometown of Miffy! 🐰 At the OECD FTA Community of Interest on Small and Medium Enterprises meeting, she connected with international peers to share experiences and perspectives. The discussions covered important ground in advancing tax administration, from strengthening digital ecosystems to e-invoicing and AI applications. These valuable insights are useful to inspire and shape IRAS' transformation journey ahead. Explore your opportunities at IRAS today at go.gov.sg/lifeatiras #fyp#tiktoksg#lifeatiras#SMEs#miffy

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