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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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Crypto M - Crypto News

@CryptoM · Post #65371 · 04/13/2026, 02:55 AM

🚀 BTC Decline Affects Whale's Investment Strategy On April 13, BTC experienced a slight decline, impacting the HYPE token, which fell before recovering above $41. According to BlockBeats, a major investor known for profiting from a long BTC exchange rate strategy is facing pressure, with a capital withdrawal of $1.9 million this week. The investor currently holds a BTC long position with 40x leverage, valued at $30.06 million at an average price of $70,557, and a HYPE short position with 5x leverage, valued at $23.03 million at an average price of $38.93. The positions were established during a previous HYPE surge, with the full setup completed by March 20, totaling approximately $53 million. Since the establishment of these positions, the investor has incurred a net loss of about $1.32 million, with the portfolio yet to achieve positive returns. #BTC#HYPE#WhaleInvestment#Leverage#CapitalWithdrawal#CryptoStrategy#BTCDecline#InvestmentLoss#CryptoMarket