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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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Libreware

@libreware · Post #1223 · 02/11/2024, 11:51 PM

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. You can log and track the phone locations of your family and friends in complete privacy, using your Nextcloud server. To do this you need to install the Nextcloud PhoneTrack App on your Nextcloud server, and the Android PhoneTrack App on every DeGoogled phone you want to track. The F-Droid version is old and buggy. To get the newer Dev Android version, you: 1. Go to the PhoneTrack Dev GitLab page, scroll down and click the "APK Direct Download" link 2. At top "Pipeline" option, click the Download arrow and select "AssembleDevDebug:archive" 3. This downloads a zip file. Extract the zip and install the APK. CONNECT ALL PHONES AND TRACK 4. On Nextcloud create a dedicated account for PhoneTracking. 5. Create a PhoneTrack "Session" in the Nextcloud PhoneTrack app. 6. Sign each phone into the Nextcloud PhoneTrack account, and on the phone, add a "PhoneTrack log job" to the Session on Nextcloud. ⚡️@LinuxTechIndex #PhoneTrack#Tracker#Nextcloud

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