#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
🪙EthGlobalNews | #BTC Corporate Holdings Update
📊 Michael Saylor’s MicroStrategy still tops the list with 640,808 BTC, yet its dominance has slipped to 60% as more companies join the treasury wave.
🟠企業持幣版圖持續擴張,越來越多上市公司將比特幣納入資產負債表,集中度正在下降。
⚡️ 機構化持幣結構轉向多元,顯示「企業級 FOMO」已開始蔓延。
#比特币#Institutions#Markets#Insight
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