#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
#IOST/USDT analysis :
#IOST has tested the support zone and has shown a bounce back. It is advisable to wait for a price retracement to enter long positions. The price is expected to maintain its bullish momentum, with potential to reach higher levels.
TF : 4H
Entry : $0.008550
Target : $0.011323
SL : $0.007050
#IOST/USDT analysis :
#IOST is currently experiencing a decline from the resistance zone following rejections in that region. It is anticipated to maintain its downward momentum and possibly test previous lows.
TF : 2H
Entry : $0.00500
Target : $0.00427
SL : $0.00542
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