#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
#LRC/USDT analysis :
#LRC has retraced to the previous resistance zone, which is now acting as support for the price. From this level, bullish momentum is expected, with the previous swing high serving as the target level for upward movement.
TF : 1D
Entry : $0.1700
Target : $0.3338
SL : $0.1300
#LRC/USDT analysis -
#LRC is currently experiencing a downtrend and is trading below the 200-day Exponential Moving Average (EMA). The price is undergoing a pullback and is anticipated to test the resistance zone close to the 200 EMA shortly before potentially declining further to retest the previous lows.
TF : 4h
Entry : $0.1890
Target : $0.1601
SL : $0.1994
#LRC has a symmetrical triangle pattern on Daily time frame,in the case of breakup we will see another huge pump again 🚀
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️
#LRC bounced back from the Demand zone also touched the curve on Weekly time frame,we need a bullish momentum to breakup this pattern 🚀
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️