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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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DWF Labs Broadcast

@Dwflabs · Post #139 · 01/12/2023, 01:16 AM

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[5 Jan to 11 Jan] DWF Crypto Snapshot 🗞️ Our latest #crypto report by DWF Labs Managing Partner Andrei Grachev is up here. Here's your weekly round up 🚀 💠Decentralized Exchange Aggregators See Uptick In Utility 💠Stablecoins Are The New #CBDCs In Hong Kong's Latest Proposal 💠World Mobile Token Launches #EarthNode NFTs On Cardano 💠It's All About The #Experience For The Future Of #NFTs 💠Innovation, #Integration, and Community is Key To A Successful #Blockchain, Says Comparing Layer-1 Platforms: 2022 Edition by The Block 💠Skip The Wait On #NFT Trading With NFT Decentralized Exchanges 💠More Web3 Projects Join Initiatives To Create Safer Blockchain #Ecosystems 💠Ethereum Staking #Protocols Will See A Boom Post-Shanghai Missed last week's snapshot? Read here. Follow us on Medium here. Stay up-to-date on the latest DWF Labs updates: Website| Twitter | Linkedin | Telegram

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