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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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Libreware

@libreware · Post #1007 · 11/05/2021, 12:54 AM

We just pushed the V1.2 of the Beechat Crank to our GitHub @beechatnetwork2 Beechat Crank is a human-powered, open-hardware, fully-waterproof, electricity generator. The project was born out of the need to power electronics in all off-grid scenarios. We needed a way to power our devices in all weather conditions, and making a human-powered generator meant that problem could be solved. When we looked for a solution, we didn't find what we were looking for, so we decided to make it, and make it open source! https://github.com/BeechatNetworkSystemsLtd/BeechatCrank/ Features High power (3A) USB-C IPX8 output 18650 3600 mAh battery (LG M36) Charging time of 4 hrs 24 min. to full charge with 10% efficiency loss at 4.5 Watts. Overcharge protection Parts Beechat Crank is composed of the main device, which we call the Heart. It contains the battery, the generator and all the electronics (the handle is detachable) The Pedal Case is an assembly which the Heart can be attached in. which dramatically speeds up the charging from 2.5 hours to 25-30 minutes. This is achieved with reduction gears to, with the same revolutions per minute, generate more electricity. Generator part We have chosen the 35L048B1B motor with a mass of 88 grams, giving us us 450 mA for each phase of the coil and works at 5V. The wire leads are connected via female Molex connectors to the charging PCB board. New modifications: * Added a Molex type connector to the PCB to connect the motor. * The Zener diodes were changed, by means of a rectifier bridge. * A new and improved Texas Instruments brand battery management chip was selected. * Added a boost converter to allow different voltage batteries. * New Portescap brand two-phase generator with 90% efficiency and peak power of 4.5 Watts was selected. #crank#beechat

Libreware

@libreware · Post #1295 · 06/21/2024, 11:55 AM

Last weekend we presented the Beechat Rune device for the very first time, as part of the Volla Community days in Germany. Featuring 4 simultaneous streams, capable of audio and video streams with next-gen CRYSTALS cryptography, the Beechat Rune is a perfect addition to privacy-focused systems. @beechatnetwork2 #beechat#mesh#p2p