@tomoko_channel · Post #1349 · 10/14/2025, 01:16 AM
🔖 独居生活清洁指南 - 少数派 #pinboard#clean https://sspai.com/post/43862
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Source channel @githubtrending · Post #14798 · Jun 6
#jupyter_notebook Unsloth is a tool that makes it much faster and easier to fine-tune large language models like Llama, Mistral, and Gemma, even on regular computers or single GPUs. It uses smart tricks to speed up training by 2 to 5 times and cuts memory use by up to 70%, so you can train models quickly without needing expensive hardware[1][3][4]. The benefit is that anyone—developers, researchers, or AI fans—can create custom AI models for different tasks, from chatting to vision, in less time and with less hassle, using ready-made notebooks and guides for popular models[3][5]. https://github.com/unslothai/notebooks
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@tomoko_channel · Post #1349 · 10/14/2025, 01:16 AM
🔖 独居生活清洁指南 - 少数派 #pinboard#clean https://sspai.com/post/43862
@LiveHealthy · Post #7080 · 03/20/2025, 09:58 PM
#clean#kitchen
@Shumozy · Post #8776 · 12/25/2025, 07:59 AM
#Windows#Install#Clean Up https://pan.quark.cn/s/04a85bcccc73 https://pan.baidu.com/s/1UxkdBBRzvvwtgcLQ3-VFBA?pwd=yguj https://pan.xunlei.com/s/VOhJVolqMRujDdmMR4dvqQj-A1?pwd=hgan 频道指南机场推荐AI绘画
@TestFlightX · Post #34484 · 11/06/2024, 01:23 AM
#SPAMDRAIN#CLEAN#EMAIL https://testflight.apple.com/join/dXHMfCSC
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@githubtrending · Post #15374 · 12/28/2025, 01:00 PM
#shell#analyzer#appcleaner#clean#cleaner#cleaner_cli#cleaner_script#command_line#daisydisk#istat#mac#macos#optimize#sensei#shell#uninstall Mole is a free, open-source terminal tool that deeply cleans and optimizes your Mac by removing caches, logs, browser junk, and app leftovers—freeing up gigabytes like 95GB in one go. It smartly uninstalls apps with all hidden files, analyzes disk space visually, monitors CPU/memory live, and rebuilds caches for better speed. Install easily via curl or Homebrew, preview changes safely, and use Touch ID. This saves you money on paid cleaners, reclaims storage fast, boosts performance, and diagnoses issues simply from your terminal. https://github.com/tw93/Mole