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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 #958 · 06/26/2021, 08:52 AM

Bromite add-on from BiTGApps It includes latest version of both Bromite WebView and Browser. It installs in system, no ota survival Download both files and install bromite zip https://bitgapps.ga/addon/non-config/BiTGApps-addon-bromite-R15_signed.zip https://bitgapps.ga/config/bitgapps-config.prop (place it anywhere) Notes: • With next update, bromite addon will be independent of config and ota survival will be added • Nanodroid Bromite SystemWebView zip isn't updated from several months and only includes WebView not Browser #bromite

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Libreware

@libreware · Post #1157 · 07/22/2023, 02:44 AM

Cromite #Cromite is a #Chromium web #browser fork based on #Bromite with built-in support for ad blocking and an eye for privacy. Available for Android Marshmallow and above (v6.0, API level 23) and Windows. https://github.com/uazo/cromite F.A.Q. https://github.com/uazo/cromite/blob/master/FAQ.md wiki https://github.com/bromite/bromite/wiki Download https://github.com/uazo/cromite/releases