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Source channel @githubtrending · Post #15428 · Jan 22

#cplusplus FlashMLA is DeepSeek's optimized attention library that makes AI models run faster and use less memory. It works with advanced NVIDIA GPUs to speed up how language models process information, achieving up to 660 trillion floating-point operations per second. The library supports both dense and sparse attention modes, meaning it can focus on important tokens while skipping less relevant ones, reducing computational waste. For you, this means faster AI responses, lower costs for running large language models, and better performance on tasks like chatbots and code generation. The technology is open-source and integrates with popular AI frameworks like PyTorch and Hugging Face, making it accessible for developers building next-generation AI applications. https://github.com/deepseek-ai/FlashMLA

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@PTPPAction · Post #2399 · 10/19/2024, 12:10 PM

#Rhilip#open 抢先体验版本不保证稳定性 feat: add lemonhd commit Merge branch 'dev' into dev * feat: add lemonhd 描述 屏幕截图 2024-10-19 193700 屏幕截图 2024-10-19 193218

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@PTPPAction · Post #1982 · 05/10/2024, 02:05 PM

#Rhilip:dev_full_vite #Rhilip#open 抢先体验版本不保证稳定性 build: full use vite to build pkg deps: use vite plugin to provide node polyfills 移除webpack构建部分,全部转为vite构建。 普通用户请勿在生产环境中使用本pr的相关action构建。

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