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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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@V1_BLOG · Post #2363 · 02/20/2021, 04:14 PM

测速机场: ImmTelecom 测速宽带: 北方移动700M 测速时间: 2.21 官网: https://immtel.com 清晰测速图: https://t.me/V1blog_g/57111 测速By-V1测速组 #ImmTelecom 新开的机场,面板用的与佩奇同款,但线路与佩奇无关,稳定性有待观察。 有需要可自行加入 @immtelecom@immtelecom_chat 频道群组 投稿(暂不接受)

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