#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
#RATS is dropping in a bearish channel on 4H time frame,we are waiting for breakup from the supply zone and ceiling of the bearish channel..✨
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️
#RATS has falling wedge pattern on 4H Time frame,we expect it will have a good pump from the support zone in near future 💎
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️
#RATS has a falling wedge pattern on 4H Time frame,in the case of breakup we will see huge pump again 💎
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️
#RATS bounced back from the Trendline on 2H Time frame,we expect it will pump from here until the next level 🚀
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️
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