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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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@venturevillagewall · Post #4247 · 02/26/2025, 04:00 AM

Bitcoin ETFs Face Nearly $1B Outflows Bitcoin ETFs experience record outflows nearing $1 billion. In 2023, all crypto sectors underperform compared to Bitcoin, with AI frameworks down 84%, agent projects 70%, and more. SEC acknowledges NYSE Arca's filing for Grayscale Ethereum ETF staking. Meanwhile, Bybit hackers have laundered 45,900 ETH ($113M) in 24 hours, totaling 135,000 ETH ($335M) to date, with more expected to be laundered soon. #Bitcoin#ETH#Crypto#NFT#SEC#Grayscale#Bybit#Hacking#Market#AI#AgentProjects#Memecoins#Gamefi#DelphiDigital#VC#Outflows#BlockChain#Finance#Investments#DeFi#Web3