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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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V1 Blog 科技｜生活｜主机评测｜Apple

@V1_BLOG · Post #1427 · 09/01/2019, 11:30 AM

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测速机场：N3RO 测速宽带：广州移动200M 测速时间：0831，4PM 官网：咕咕 清晰测速图：https://bit.ly/2P9XhXJ 测速By-V1测速组 #n3ro 频道：@V1_BLOG 群组：@V1blog_group

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V1 Blog 科技｜生活｜主机评测｜Apple

@V1_BLOG · Post #2087 · 04/29/2020, 01:46 PM

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测速机场: N3RO 测速宽带: 广东电信200M 测速时间: 4.29 官网: http://bit.ly/32YVRT5 价格表: https://t.me/V1blog_g/27685 清晰测速图 图一(早上): https://t.me/speedtest_V1/173 图二(晚高峰): https://t.me/speedtest_V1/174 测速By-V1测速组 #n3ro#对比 频道群组投稿

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