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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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@venturevillagewall · Post #3757 · 12/31/2024, 04:00 AM

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2025 Crypto Outlook Highlights Regulatory Impact Franklin Templeton forecasts a favorable regulatory environment led by US regulators like the SEC, supporting more crypto ETFs and tokenized securities. This trend is expected to reposition the US as a global hub for cryptocurrency innovation. Additionally, in noteworthy transactions: 58 million #XLM was transferred between unknown wallets, and CleanSpark withdrew 3,158 Bitcoins from Coinbase, totaling $293.39M. Former CFTC Chairman Chris Giancarlo praised Bitcoin as 'digital gold'. Read more hereTransaction detailsCleanSpark details #Crypto#US#ETFs#Regulation#Bitcoin#DigitalGold#Innovation#Blockchain#CFTC#XLM#WhaleAlert#CleanSpark#Mining#TokenizedSecurities#Finance#Investment#MarketTrends#2025Outlook#DigitalAssets#CryptoNews