@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 #15141 · Sep 13
#python#large_language_models#machine_learning_systems#natural_language_processing Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable. https://github.com/fla-org/flash-linear-attention
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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