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Source channel @githubtrending · Post #14798 · Jun 6

#jupyter_notebook Unsloth is a tool that makes it much faster and easier to fine-tune large language models like Llama, Mistral, and Gemma, even on regular computers or single GPUs. It uses smart tricks to speed up training by 2 to 5 times and cuts memory use by up to 70%, so you can train models quickly without needing expensive hardware[1][3][4]. The benefit is that anyone—developers, researchers, or AI fans—can create custom AI models for different tasks, from chatting to vision, in less time and with less hassle, using ready-made notebooks and guides for popular models[3][5]. https://github.com/unslothai/notebooks

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Crypto News & Web3 Events | TON Ecosystem

@tonevents_en · Post #1290 · 02/27/2025, 10:44 AM

✉ xQuest — What's Next? 💬The Earn phase in xQuest Launch has officially ended. Over 125,000 users completed various quest tasks: from learning basic xRocket features to mastering trading and staking. This impressive result demonstrates high interest in the new platform. ⏺➕Now the Calculationphase is going, during which the campaign results will be summarize. 💰 After calculations, the Сlaim phase will begin – from March 3rd to March 10th, participants of the first xQuest campaign can claim their earned rewards and share the prize pool of 300,000 $XROCK (~$7750). Trade on xRocket exchange #xQuest#xRocket