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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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@ultimoraPOLITICS · Post #39571 · 05/16/2022, 09:55 PM
#Elezioni#Libano 99 seggi assegnati su 128: Per coalizioni: Alleanza dell'8 marzo (#FPM-#Amal-#Hezbollah-#Marada-#ARF-#PNO-#UP-#Baath)|Grande tenda pro-Siria: 47 seggi Alleanza del 14 marzo (#LF-#Kataeb-#IM-#Taqaddm)|Grande tenda anti-Siria: 28 Indipendenti: 11 Altri (#PSP-#NLP-#TW-#Sabaa-#ReLebanon-#Osos): 11 @UltimoraPolitics
@ultimoraPOLITICS · Post #39570 · 05/16/2022, 09:40 PM
#Elezioni#Libano 99 seggi assegnati su 128: #LF|Destra cristiana: 19 seggi #FPM|Grande tenda cristiana maronita: 14 #Amal|Centro-destra populista islamico: 13 Indipendenti: 13 #Hezbollah|Islamici: 12 #PSP|Centro-sinistra druso: 6 #Kataeb|Centro-destra cristiano maronita: 6 #ARF|Sinistra armena: 3 #Marada|Destra cristiana maronita: 2 #Taqaddm|Centro-sinistra: 2 #UP|Nasseristi: 1 #PNO|Sinistra araba: 1 #NLP|Centro-destra cristiano maronita: 1 #TW|Centro: 1 #Sabaa|Centro-sinistra: 1 #ReLebanon|Centro-destra: 1 #Baath|Neo-Ba'thisti: 1 #Osos|Centro: 1 #IM|Centro-destra sovranista secolare: 1 @UltimoraPolitics