#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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Indicii prețurilor de consum în Republica Moldova în luna ianuarie 2025
Biroul Național de Statistică informează că, prețurile medii de consum în ianuarie 2025 s-au majorat față de luna decembrie 2024 cu circa 2,8%, luna ianuarie 2024 (în ultimele 12 luni) cu 9,1%.
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Индексы потребительских цен в Республике Молдова в январе 2025 года
Национальное бюро статистики сообщает, что средние потребительские цены в январе 2025 года выросли по сравнению с декабрем 2024
Первая пятерка кандидатов в Тараклийский районнный совет. В бюллетенях PDCM - на ШЕСТОЙ позиции.
Мы - это вы, а Вы - это мы!
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