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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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郭子健Daniel Kwok Tsz Kin

@tsingyidan · Post #1175 · 04/11/2025, 06:52 AM

We successfully hosted the Citizenship and Settlement Seminar in Glasgow and Edinburgh this April — supporting Hongkongers on their journey to ILR and UK citizenship. This seminar was co-organised by The Hong Kong Scots CIC, Hong Kong Professionals CIC, ACRHK, and Glasgow Hong Kong Christian Church, with funding from COSLA (Convention of Scottish Local Authorities) under the BN(O) Integration Support Service. Special thanks to Henry Wong, solicitor qualified in both Hong Kong and England & Wales, for leading two in-depth legal workshops tailored for the community. We are deeply grateful to Corstorphine Community Church for their long-standing support and for kindly hosting our Edinburgh session. Full income & expenditure report (in English):https://www.patreon.com/posts/citizenship-and-126410655 #BNO#ILR#HongKongInScotland#CommunitySupport