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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 #1197 · 10/31/2023, 01:57 PM

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. Louis Rossman and FUTO have released another not -FOSS app of interest. This time they bring us the #video#streaming app #Grayjay, which is designed to let you surf and search all you favorite video streaming services at once. Grayjay does everything the popular NewPipe app does, plus more. Unfortunately NewPipe only worked with YouTube and PeerTube. So far Grayjay works w/these platforms (to a certain extent) - Rumble - Odysee - Youtube - FUTO's PeerTube Instance - Twitch - Patreon - Soundcloud - Kick - Nebula Sorry, no BitChute so far. You can download videos for offline viewing, and then export those to your Movies folder on your phone. You can download the apk install file here: https://grayjay.app/ Their GitLab source code can be found here: https://gitlab.futo.org/videostreaming/grayjay Casting: https://gitlab.futo.org/videostreaming/grayjay/-/blob/master/docs/casting.md ⚠️ License https://gitlab.futo.org/alex/voiceinput/-/blob/master/FTL_LICENSE.md ⚡️@LinuxTechIndex

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