#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
➡️New build available for Xiaomi POCO M3/Redmi 9T (chime)
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ℹ️ Version: 12
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➡️New build available for Xiaomi POCO M3/Redmi 9T (chime)
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📆 Build date: November 20, 2022 11:41
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🪐 One of the largest samples of fast radio bursts (FRBs) ever recorded comes from the Canadian Hydrogen Intensity Mapping Experiment (CHIME), which has detected thousands of these brief, mysterious flashes from all directions across the sky. Each FRB is a burst of radio energy that lasts just milliseconds, often releasing more power than our Sun emits in days, and their unpredictable appearances continue to challenge scientists searching for their true origins. ✨
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