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Изворен канал @pythonotes · Post #232 · 2 апр.

https://devdocs.io/python~3.9/ Интерактивный поиск по документации Python. Просто наберите имя функции, класса или модуля и сразу получите статью. Поиск умный, может найти неточное совпадение. Например когда допустили опчепятку в слове. Попробуйте поискать по слову "mltprcsng" #basic

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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