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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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#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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@githubtrending · Post #14817 · 06/11/2025, 11:30 AM

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#python#asr#captions#cli#python#subtitle#subtitles#transcript#transcripts#translating_transcripts#youtube#youtube_api#youtube_asr#youtube_captions#youtube_subtitles#youtube_transcript#youtube_transcripts#youtube_video The YouTube Transcript API is a tool that helps you get the text from YouTube videos. It's fast and easy to use, saving you time compared to watching the whole video. You can use it to make subtitles, translate text, and even analyze what's being said in videos. This is helpful for content creators who want to make their videos more accessible and for researchers who need to study video content quickly. It also supports multiple languages, making it useful for a wide range of users. https://github.com/jdepoix/youtube-transcript-api

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#python #asr #captions #cli #subtitle #subtitles #transcript #transcripts #translating_transcripts #youtube #youtube_api #youtube_asr #youtube_captions #youtube_subtitles #youtube_transcript #youtube_transcripts #youtube_video