#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
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#ONT/USDT analysis :
#ONT has successfully broken out and is currently testing a previously respected resistance zone. The price has rebounded from this zone, and it is expected to resume its upward momentum, aiming to test previous highs.
TF : 1D
Entry : $0.2595
Target : $0.3900
SL : $0.2050
#ONT/USDT analysis -
#ONT be in downtrend trading below 200ema. After a corrective pullback, price retraced to 200ema and getting rejected. It is expected to drop from current level and test previous lows.
TF : 4H
Entry : $0.2013
Target : $0.1597
SL : $0.2125