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Source channel @githubtrending · Post #15432 · Jan 23

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#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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#jupyter_notebook#chinese_llm#chinese_nlp#finetune#generative_ai#instruct_gpt#instruction_set#llama#llm#lora#open_models#open_source#open_source_models#qlora
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Coin Sonar

@CoinSonar · Post #244155 · 04/18/2026, 11:50 AM

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#SHELL | Volume spike (USDT PAIR) 157 times the average volume 107.23K USDT traded in 5 min └Buying vol: 71.56K USDT 🟢 Boost score: 6/10 24h Vol: 195.50K USDT (Binance) Price: 0.0344 (-4.6% in 24h)

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Coin Sonar

@CoinSonar · Post #243989 · 04/18/2026, 05:43 AM

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#SHELL | Volume spike (USDT PAIR) 165 times the average volume 112.64K USDT traded in 5 min └Buying vol: 70.51K USDT 🟢 Boost score: 7/10 24h Vol: 195.50K USDT (Binance) Price: 0.0357 (-4.6% in 24h)

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