#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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Один из наиболее авторитетных аналитических сервисов в крипте, Messari, поделился отчётом по блокчейну #PLUME.
Специально для вас, мы перевели весь отчёт на русский язык, чтобы вы могли с ним ознакомиться.
Также мы делились подробным фундаментальным разбором этого проекта ещё в январе месяце в нашем закрытом клубе.
Читайте отчёт Messari по ссылке
🗣#Plume: Join the activity campaign and earn points
Plume has introduced a new campaign where you can earn points for being active.
Rewards:
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What to do:
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Condition: You need at least 50 followers on one of your social media platforms.
Selection results will be revealed on January 6.❗️
Full details about the campaign can be found here.
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https://www.binance.com/en/activity/trading-competition/spot-plume-listing-campaign