#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
Crypto News Aggregator by EXCAVO | ꘜ
🕵️♂️#TST creator wallet sold >$30,400 worth of TST in 4 transactions 12 hours ago, completely exiting the position.
Notably, CZ reported in February that the BNB Chain team launched TST as part of a step-by-step memecoin launch video training.
Previously: TST dropped -67% in just 2 minutes.