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Source channel @githubtrending · Post #14815 · Jun 10

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#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

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Coin Sonar

@CoinSonar · Post #244155 · 04/18/2026, 11:50 AM

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#SHELL | Volume spike (USDT PAIR) 157 times the average volume 107.23K USDT traded in 5 min └Buying vol: 71.56K USDT 🟢 Boost score: 6/10 24h Vol: 195.50K USDT (Binance) Price: 0.0344 (-4.6% in 24h)

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Coin Sonar

@CoinSonar · Post #243989 · 04/18/2026, 05:43 AM

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#SHELL | Volume spike (USDT PAIR) 165 times the average volume 112.64K USDT traded in 5 min └Buying vol: 70.51K USDT 🟢 Boost score: 7/10 24h Vol: 195.50K USDT (Binance) Price: 0.0357 (-4.6% in 24h)

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