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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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@V1_BLOG · Post #1385 · 08/14/2019, 03:53 PM

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测速机场: AAEX Cloud 测速宽带: 广州移动200M 测速时间: 0814,10PM 官网: https://aaex.uk 交流群：@AAEX_CLOUD 清晰测速图：咕到明天 测速By-V1测速组 #AAEX 频道:@V1_BLOG 群组:@V1blog_group

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