#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
#FTM/USDT analysis :
#FTM is currently in a bullish trend, characterized by higher highs and higher lows, with consistent support along the trendline. The price is expected to rebound from its current level and test previous highs. A breakout above the $0.8800 level would present an optimal entry point for further upward movement.
TF : 1D
Entry : $0.8800
Target : $1.4000
SL : $0.6550
#FTM/USDT analysis :
#FTM is currently consolidating sideways within the support and resistance zone. The price is bouncing back from the support zone and is anticipated to sustain its momentum and test the previous swing high within the resistance zone.
TF : 30min
Entry : $0.4193
Target : $0.4314
SL : $0.4127
#FTM +%70 🤑🤑
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