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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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YuKongA | Channel

@YuKongA13579 · Post #1311 · 04/08/2025, 04:02 AM

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A16 (beta) 目前已修复（了么，实际并没有）粗体渲染异常（但现在整个 400-800 区间粗细的变化不明显且600字重依旧会比700粗）及输入框上移问题 #Hyperos2

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