#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
🔰#BCH Update - Price is pushing higher after the recent bounce.
Keeping a close watch on $603, which remains a key upside target on this leg up, as it aligns with the yearly open — a significant level that often acts as strong resistance.
🔰#BCH Update - Price is pushing higher after the recent bounce.
Keeping a close watch on $603, which remains a key upside target on this leg up, as it aligns with the yearly open — a significant level that often acts as strong resistance.
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