#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
#ELF/USDT analysis :
#ELF is currently in an uptrend, forming higher highs (HHs) and higher lows (HLs). Following an impulsive move, the price has retraced to the 200 EMA and a key support zone. It is anticipated that the price will rebound from this level and resume its bullish momentum, aiming to test the previous swing high.
TF : 1D
Entry : $0.4500
Target : $0.8400
SL : $0.3550
#ELF/USDT analysis :
#ELF is currently consolidating above the previously respected support zone. The price is expected to bounce back from this level and continue its bullish rally, potentially testing previous highs.
TF : 1W
Entry : $0.4124
Target : $0.7853
SL : $0.3060