#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
The App That Google Couldn’t Shut Down
https://www.youtube.com/watch?v=Vlc255SwBXw
ReVanced Manager is an application that uses ReVanced Patcher to patch Android apps.
💪 Features
💉Patch apps: Apply any patch of your choice to Android apps
📱Portable: ReVanced Patcher that fits in your pocket
🤗Simple UI: Quickly understand the ins and outs of ReVanced Manager
🛠️Customization: Configurable API, custom sources, language, signing keystore, theme and more
🔽 Download
You can download the most recent version of ReVanced Manager at revanced.app/download or from GitHub releases.
Learn how to use ReVanced Manager by following the documentation.
Another option:
https://rvxapp.com
#yt#YouTube#Vanced#revanced