#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
#QI/USDT analysis :
#QI has broken out and successfully retested the previous swing high resistance. The price is currently finding support at this zone. It is anticipated that the price will bounce back from here and test previous highs.
TF : 1W
Entry : $0.01650
Target : $0.03380
SL : $0.01080
#QI
https://www.binance.com/en/trade/QI_USDT
Buying Zone 195-200
Sell
🤑 220
🤑 250
🤑 250-280
🤑 280-310
🚀 310-350 & above
Currently facing R if broken x2
we can expect
Bullish above 178🔼
Death zone below 178🔽
#QI👈
Call given here
Hit 52 fourth selling range
Target 1 to 4 done ✅
57% safe profit
If you invested 1 btc it's now 1.57 btc now 🤑🤑
Signal before pump @ low level
Always trade with us for max profit 😊🤑💃
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👀#ATA#FIO#GTC#NTRN#PHB#QI#RDNT#BNB Binance Will Extend the Monitoring Tag to Include ATA, A2Z, FIO, GTC, NTRN, PHB, QI & RDNT on 2026-03-13 RDNTUSDT: 0.00571 #Binance#announcement