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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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@CoinSonar · Post #243681 · 04/17/2026, 01:29 PM

#SOL | Volume spike (BTC PAIR) 70 times the average volume 8.431 BTC traded in 1 min └Selling vol: 5.858 BTC 🔴 Boost score: 1/10 24h Vol: 172.656 BTC (Binance) Price: 0.0011659 (-2.1% in 24h)

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Coin Sonar

@CoinSonar · Post #243680 · 04/17/2026, 01:29 PM

#SOL | Volume spike (USDT PAIR) 59 times the average volume 10.41M USDT traded in 1 min └Buying vol: 7.71M USDT 🟢 Boost score: 5/10 24h Vol: 250.59M USDT (Binance) Price: 89.52 (-3.6% in 24h)

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Coin Sonar

@CoinSonar · Post #243284 · 04/16/2026, 07:08 PM

#SOL | Volume spike (BTC PAIR) 188 times the average volume 22.542 BTC traded in 1 min └Selling vol: 19.917 BTC 🔴 Boost score: 1/10 24h Vol: 172.656 BTC (Binance) Price: 0.0011880 (-2.1% in 24h)

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