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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 #4042 · 01/31/2025, 10:00 PM

Grayscale Launches Dogecoin Trust 🚀 Grayscale Investments has launched the Grayscale Dogecoin Trust, redefining DOGE from a meme to an investment asset. The trust aims to offer accredited investors direct exposure to DOGE, highlighting its accessibility, low cost, and quick transactions. Grayscale's initiative underscores DOGE's role in promoting financial accessibility, as noted by Rayhaneh Sharif-Askary. While regulatory approval for secondary market trading is pending, the outlook for crypto ETFs remains positive following recent approvals. The DOGE Trust could potentially convert into an ETF in the future, aligning with the SEC's evolving view on cryptocurrencies. Notably, Bitwise Investment Advisers has proposed a Dogecoin ETF. 📈 #Grayscale#Dogecoin#Crypto#ETF#Finance#Investment#SEC#Regulation#AssetManagement#Bitwise#Inclusion#FinancialAccessibility#Meme#Blockchain#Trends#Markets#Innovation#DigitalAssets#SpotETFs#InvestmentTrusts