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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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Venture Village Wall 🦄

@venturevillagewall · Post #4286 · 03/02/2025, 01:00 PM

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CZ Proposes New Token Unlock Model 🔵 CZ proposes a tokenomics model linking unlocks to price growth and time, reducing market impact. 😏 Initial 10% sold for development. 😏 Unlock every 6 months, contingent on 2x price increase maintained for 30 days. 😏 Max 5% unlock each time. ❓ Market implications include lack of sell pressure from mass unlocks and encouraging long-term projects. 🔴 Critics argue it could disadvantage small teams reliant on token price. Could this model reshape token economies? Read more: Link #CZ#Tokenomics#Crypto#Blockchain#Ethereum#MarketTrends#Investing#DeFi#Finance#Startups#Innovation#LongTerm#SmartContracts#PriceGrowth#Unlocks#Community#PricingModel#InvestmentStrategies#ElonMusk#HongKong