#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
#OXT/USDT analysis :
#OXT has broken out and retested a previously respected support zone. Price is expected to bounce back from this level and test previous highs. This indicates a potential continuation of the bullish trend, as the retest confirms the strength of the support.
TF : 1D
Entry : $0.1070
Target : $0.1570
SL : $0.0857
#OXT finally broken up the trading range on 8H Time frame,we will have good pump again after a pullback,let's see what will happen 💫
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️
#OXT result
2 nd target achieved in just 3 days ✅✅
One more huge quick profit 15%🤑💰🤑
👉 Still thinking? The more you wait more you lose profit
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#OXT has good bullish momentum on Weekly time frame,we are waiting for a pullback and rebuy,buy dip
📈
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️