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Source channel @githubtrending · Post #15432 · Jan 23

#jupyter_notebook#chinese_llm#chinese_nlp#finetune#generative_ai#instruct_gpt#instruction_set#llama#llm#lora#open_models#open_source#open_source_models#qlora AirLLM is a tool that lets you run very large AI models on computers with limited memory by using a smart layer-by-layer loading technique instead of traditional compression methods. You can run a 70-billion-parameter model on just 4GB of GPU memory, or even a 405-billion-parameter model on 8GB, without losing model quality. The benefit is that you can use powerful AI models on affordable hardware without expensive upgrades, and the tool also offers optional compression features that can speed up performance by up to 3 times while maintaining accuracy. https://github.com/lyogavin/airllm

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Crypto M - Crypto News

@CryptoM · Post #64458 · 04/09/2026, 01:01 AM

🚀 Michael Saylor Suggests Bitcoin May Have Bottomed, Downplays Quantum Computing Risks PANews posted on X (formerly Twitter). Michael Saylor, founder and executive chairman of MicroStrategy, expressed at a Mizuho event that Bitcoin likely reached its bottom near $60,000 in early February. He attributed this bottoming more to a depletion of sellers rather than valuation factors. Saylor noted that current selling pressure is limited, with ETF inflows absorbing daily supply and corporations allocating treasury assets to Bitcoin, which sustains demand. Regarding the recent discussions on the threat of quantum computing, Saylor believes the risks are overstated. He stated that the threat remains theoretical and may not need to be addressed for several decades, by which time solutions will likely be available. #MichaelSaylor#Bitcoin#Bottomed#QuantumComputing#ETFInflows#Cryptocurrency#MicroStrategy#Blockchain#TreasuryAssets#CryptoDemand#BTC