#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
#CKB/USDT analysis :
#CKB has retested the previously respected zone. The price is anticipated to rebound from the current level and test higher levels.
TF : 1W
Entry : $0.006300
Target : $0.020440
SL : $0.004500
#CKB/USDT analysis :
#CKB has experienced a breakout and has successfully retested the previous breakout zone. It is expected to rise from the current level and test previous highs. A bullish momentum is anticipated in the near future.
TF : 1D
Entry : $0.01408
Target : $0.01916
SL : $0.01239