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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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@vpstuijianaaa · Post #17 · 11/01/2021, 02:39 PM

#VPN#samurai 【已亲测可用,下载速度5-7M左右,近期发过的VPN里面速度最快的。解锁了全部线路,有十多个国家,几十条线路】

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🎨 𝗧𝗘𝗠𝗔𝗦 𝗧𝗘𝗟𝗘𝗚𝗥𝗔𝗠 ➤ 𝗧𝗚𝗫 📢 𝗖𝗵𝗮𝗻𝗻𝗲𝗹: @DNZ_Temas ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ 🔗𝗔𝗣𝗣𝗟𝗬 𝗧𝗛𝗘𝗠𝗘>> ✅ ⤵️𝗕𝗔𝗖𝗞𝗚𝗥𝗢𝗨𝗡𝗗>> ⬇️𝗪𝗔𝗟𝗟𝗣𝗔𝗣𝗘𝗥>> ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ 🏷️Tags: #Samurai#Dark#MDGram ╚═══ ღ 𝔻ℕℤ 𝕋𝔼𝕄𝔸𝕊 ღ ═══╝

Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40832 · 03/19/2026, 11:01 PM

The Battle of Ichi-no-Tani was fought on 20 March 1184 in Japan during the Genpei War. The Minamoto clan attacked a Taira clan fortress near present-day Kobe. Minamoto no Yoshitsune and Minamoto no Noriyori led the Minamoto army. About 3,000 Minamoto soldiers fought about 5,000 Taira soldiers. The Minamoto forces won the battle. ⚔️🏯🇯🇵 [Read more] @googlefactss #history#japanhistory#samurai#genpeiwar#historyfacts

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