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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 #3897 · 01/16/2025, 07:00 PM

Avalon Labs Hits 3M Airdrop Registrations Avalon Labs, a Bitcoin stablecoin issuer, has surpassed 3 million airdrop registrations in just one day. The firm also reports a total locked value (TVL) exceeding $2 billion. Earlier, Avalon Labs secured $10 million in Series A funding led by Framework Ventures. Read more at Wu Blockchain News. Additionally, Web3 gaming company Hyve Labs has raised $2.75 million in pre-seed funding. More details can be found at The Block. #Bitcoin#Stablecoin#AvalonLabs#DeFi#Web3#Gaming#Funding#VC

Venture Village Wall 🦄

@venturevillagewall · Post #3676 · 12/23/2024, 04:00 PM

Funding Boosts RWA and DeFi Ventures Usual Labs secures $10M in Series A funding led by Binance Labs and Kraken Ventures. EYWA, a cross-chain liquidity protocol, attracts $8.5M from major investors including Curve's founder. Core product CrossCurve surpasses $21M in TVL. Other funding highlights include Avalon Labs raising $10M, Valhalla $1.5M, Rumble $775M, and Allo $2M. Notably, CryptoQuant indicates substantial Bitcoin accumulation by ETFs and institutions, now holding 31% of circulating supply. 📈 #Funding#Stablecoin#DeFi#EYWA#Liquidity#CrossChain#Investors#AvalonLabs#Valhalla#Rumble#Allo#CryptoQuant#Binance#Kraken#TVL#Bitcoin#ETF#Curve#Trading#Tokenization