#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
Por ti
Con esto anuncio mi deseo
Si en verdad lo logro tomaré y comeré por siempre
Tal vez tenga que preguntarme dos veces si es lo que quiero
Tal vez tenga que volver a repetir lo primero
Si quisiera estar contigo esperando a recibir un humo necesario
Moriré de noche, y sin verme por última vez. Encontraré la vida sin quererla.
Y faltará mucho para comenzar a esperarte. Tendré la decencia de no hacerlo notar
Pero siempre sabrás que algo pasa si miras de frente lo que tengo.
Puede ser de tarde y yo aún vendré hacia el lodo
Esto que hay por dentro seguirá sin explicación
Es lo único que queda entre dos o tres restos de la unión
Eso que has traído hasta mi se perdió
Hay tanto tiempo para pensar si culpar al deseo
Yo quice sentarme a trabajar con lo que no tengo
Justamente para saber, es devolver y perder
Entonces tendré que reclamar lo perdido.
#Anon
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🗿Участники сюжета 4.0
🗿Все анонсированные ранее персонажи появятся в сюжете 4.0(кроме Блейда и Нигилюксы(они будут упомянуты))
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✉️Источник: #anon
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