#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
#MTL/USDT analysis :
#MTL is in an uptrend, consistently making new highs while finding support above the 200 EMA. After liquidating long positions, the price has reclaimed the 200 EMA and is now moving upward. It is expected that the price will maintain its bullish momentum and test higher levels.
TF : 15min
Entry : $1.529
Target : $1.589
SL : $1.488
#MTL/USDT analysis :
#MTL is currently in a downtrend, trading below the 200EMA. The price is consolidating sideways within a correction phase. It is expected that the bearish momentum will continue soon, potentially testing newer lows. For a short entry, wait for a pullback and retest of the zone.
TF : 1D
Entry : $1.047
Target : $0.765
SL : $1.223
#MTL/USDT analysis :
#MTL is presently consolidating above the support zone and the 200 EMA. It is expected to maintain its bullish momentum and retest the previous swing high.
TF : 2H
Entry : $0.977
Target : $1.035
SL : $0.938