#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
#MASK/USDT analysis :
#MASK is currently in an uptrend, characterized by higher highs (HHs) and higher lows (HLs), and is trading above the 200-period exponential moving average (EMA).
The price is presently consolidating above a key support zone, and it is anticipated that it will bounce back from this level, continuing its upward trajectory and potentially testing previous highs.
TF : 4H
Entry : $2.877
Target : $3.300
SL : $2.610
#MASK/USDT analysis :
#MASK is in an uptrend. After breaking above the 200 EMA, the price is now sustaining above it. The price is currently consolidating over the support zone and is expected to bounce back from the current level, testing higher levels. Wait for a pullback before entering a long position.
TF : 4h
Entry : $2.265
Target : $2.531
SL : $2.129