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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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Binance Big Pump Signals Future trade

@binancebigpumpsignalsfuture · Post #2676 · 05/05/2025, 06:03 AM

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It might look a little confusing at first, but pay attention. On this chart we have DXY, GOLD and BTC. DXY, which is a representative chart of the USD, has an inverse relationship with GOLD and BTC. This is because when the dollar is strong, big money moves into high interest bonds that are safe. When the dollar weakens, big money moves into safe havens and riskier assets. What we can firstly see on the chart is that every time DXY drops, GOLD almost instantly moves higher. Secondly, we can see that BTC also moves higher, but it lags behind GOLD. But that’s not the most interesting thing… The most interesting thing here is that every single time DXY has entered a down trend, BTC has began its move between 133 days and 140 days later. This time, that gives us an end of May date as to when BTC will begin its next true move higher. It’s just facts, right there for you to see. #CryptoSignal#Binance#PumpAlert#FuturesTrade

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