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Изворен канал @pythonotes · Post #193 · 23 дек.

Для тех кто пропустил релиз Qt6! PySide6 уже доступен! Для старта можно взять эти странички: https://wiki.qt.io/Qt_for_Python https://doc.qt.io/qtforpython/ https://doc.qt.io/qtforpython/tutorials/index.html Там же есть ссылка на репозиторий примеров https://code.qt.io/cgit/pyside/pyside-setup.git/tree/examples #qt

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@githubtrending · Post #14815 · 10.06.2025 г., 11:30

#jupyter_notebook#chatglm#chatglm3#gemma_2b_it#glm_4#internlm2#llama3#llm#lora#minicpm#q_wen#qwen#qwen1_5#qwen2 This guide helps beginners set up and use open-source large language models (LLMs) on Linux or cloud platforms like AutoDL, with step-by-step instructions for environment setup, model deployment, and fine-tuning for models such as LLaMA, ChatGLM, and InternLM[2][4][5]. It covers everything from basic installation to advanced techniques like LoRA and distributed fine-tuning, and supports integration with tools like LangChain and online demo deployment. The main benefit is making powerful AI models accessible and easy to use for students, researchers, and anyone interested in experimenting with or customizing LLMs for their own projects[2][4][5]. https://github.com/datawhalechina/self-llm