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Source channel @githubtrending · Post #15141 · Sep 13

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#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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Gong Jiao Wei 巩娇玮

@gongjiaoweiy · Post #69103 · 03/19/2026, 04:13 AM

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Interesting — just 5 hours after Arthur Hayes(@CryptoHayes) bought $ETHFI, #Upbit announced its listing.

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SpotOnChain | Announcement

@spotonchain · Post #468 · 10/18/2023, 02:03 AM

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🚨 As $ORBS price surge up to 68% in the past 24hrs, we noticed that 1️⃣ Address 0xc13 deposited 61.79M $ORBS ($3.72M) to #OKX at $0.0587 on average ~10 & 4hrs ago. • Notably, address 0xc13 received 134M $ORBS ($7.83M) allegedly from the Orbs: Team and Founding Partners. 2️⃣ The 3rd $ORBS-richest address, 0x8A5, which potentially belongs to exchange #Upbit, has received a total of 96.5M $ORBS ($5.6M) in the past 40 mins. • This might be responsible for the sudden decline in $ORBS price now. 👉 More details: https://platform.spotonchain.ai/signal-details/orbs-team-allegedly-depostied-orbs-to-okx-1765 👉 Need the beta code? Join our Discord to get one: https://discord.com/invite/Xh7cReej7n

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