#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
#OP/USDT analysis :
#OP is currently forming a continuation pattern within a downtrend. The price has broken previous lows, and it is anticipated that it will continue its bearish momentum. It is advisable to wait for a pullback to the identified zone for a short entry, as the previous swing low is expected to be tested.
TF : 1D
Entry : $1.493
Target : $1.076
SL : $1.773
#OP/USDT analysis :
#OP has broken out above the 200 EMA and the previous resistance zone with strong bullish momentum. It is now retesting the breakout zone. The price is expected to continue its bullish bias and test previous highs. Wait for a break of the $1.517 level to go long.
TF : 2H
Entry : $1.517
Target : $1.643
SL : $1.444