#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
🤔#LDO Financial indicators for Lido in 2025 show that total revenue decreased by 23% on an annual basis to $40.5 million, with net staking commission revenue amounting to $37.4 million.
The DAO is evaluating a potential LDO buyback program in the second quarter of 2026. link
#LDO/USDT analysis :
#LDO is in a downtrend, currently rejecting from the 200 EMA resistance after going through a correction phase. It is expected to continue its bearish momentum and test the previous swing low. Wait for the break of the $1.091 level downside for a short entry.
TF : 15min
Entry : $1.091
Target : $0.993
SL : $1.153
#LDO/USDT analysis -
#LDO has recently broken out of the channel after facing rejection from the 200 EMA in a downtrend. It is now expected to continue its downward momentum and test new lows.
TF : 2H
Entry : $1.530
Target : $1.398
SL : $1.604