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Если вы пропустили, то вчера вышла новая моделька Qwen 2.5 coder на 32b параметров, ну и она пишет код на уровне gpt4o🤯 для неё хватит и 16gb видео, а 14b и 7b, которые недалеко по бенчмарку ушли вообще на коленках можно запускать, this is big! 🔥

Опенсорс так скоро догонит и reasoning, как в o1 от OpenAI 🌚

https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct



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Если вы пропустили, то вчера вышла новая моделька Qwen 2.5 coder на 32b параметров, ну и она пишет код на уровне gpt4o🤯 для неё хватит и 16gb видео, а 14b и 7b, которые недалеко по бенчмарку ушли вообще на коленках можно запускать, this is big! 🔥

Опенсорс так скоро догонит и reasoning, как в o1 от OpenAI 🌚

https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct

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On December 23rd, 2020, Pavel Durov posted to his channel that the company would need to start generating revenue. In early 2021, he added that any advertising on the platform would not use user data for targeting, and that it would be focused on “large one-to-many channels.” He pledged that ads would be “non-intrusive” and that most users would simply not notice any change. In this regard, Sebi collaborated with the Telecom Regulatory Authority of India (TRAI) to reduce the vulnerability of the securities market to manipulation through misuse of mass communication medium like bulk SMS. Meanwhile, a completely redesigned attachment menu appears when sending multiple photos or vides. Users can tap "X selected" (X being the number of items) at the top of the panel to preview how the album will look in the chat when it's sent, as well as rearrange or remove selected media. Official government accounts have also spread fake fact checks. An official Twitter account for the Russia diplomatic mission in Geneva shared a fake debunking video claiming without evidence that "Western and Ukrainian media are creating thousands of fake news on Russia every day." The video, which has amassed almost 30,000 views, offered a "how-to" spot misinformation. Following this, Sebi, in an order passed in January 2022, established that the administrators of a Telegram channel having a large subscriber base enticed the subscribers to act upon recommendations that were circulated by those administrators on the channel, leading to significant price and volume impact in various scrips.
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