#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
#SXP/USDT analysis :
#SXP has broken out of the trendline, and the price has also rebounded from the support zone following a period of sideways consolidation. It is anticipated that the price will continue to rise from the current level and test previous swing highs.
TF : 1D
Entry : $0.3240
Target : $0.5629
SL : $0.2055
#SXP/USDT analysis :
#SXP has bounced back from the 200 EMA after a retracement and a breakout of the trendline. It is now expected to move towards the previous swing high level.
TF : 2H
Entry : $0.2592
Target : $0.2894
SL : $0.2495
#SXP/USDT analysis :
#SXP is presently in an uptrend, forming higher highs (HHs) and higher lows (HLs). It is expected to experience a pullback near its support zone and is likely to bounce back from there to test higher levels.
TF : 1h
Entry : $0.2416
Target : $0.2538
SL : $0.2339
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#SXP bounced from the support zone on Weekly time frame,now price is trying to break up the falling wedge pattern, breakout incoming..
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