#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
#KNC/USDT analysis :
#KNC is retracing towards the 200 EMA, indicating potential upside. The price is respecting the trendline and bouncing back, which suggests a good opportunity for a long entry. Previous highs will serve as target levels.
TF : 4H
Entry : $0.4198
Target : $0.4582
SL : $0.3939
#KNC/USDT analysis :
#KNC is currently in a downtrend, trading below the 200 EMA. The price is forming a pattern of lower lows and lower highs. At present, the price is facing resistance near the 200 EMA, suggesting a potential reversal from this point to maintain its bearish movement and establish a new lower low.
TF : 4H
Entry : $0.4419
Target : $0.4083
SL : $0.4589