#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
#RAY/USDT analysis :
#RAY is currently consolidating within a flag pattern, indicating a potential continuation of its upward trend. A breakout above the $5.890 level could signal a move to higher price levels. Consider entering a long position upon confirmation of the breakout.
TF : 1D
Entry : $5.890
Target : $9.045
SL : $4.000
🔥$RAY
Entered this position as a speculative play within the SOLANA ecosystem. Monitor pullbacks carefully, manage entries with discipline, and always conduct your own due diligence before participating.
X: https://x.com/i/communities/2033099708164378981
Website: https://x.com/bbcworld/status/2033099192877429170?s=46
🔗 Contract: https://solscan.io/token/G7ydggVFm4RVTTsd3E8MWh7angBs78MTmZN3gVZPpump
https://dexscreener.com/solana/HAVxMaLK96qgiyRdvX4YVpjfajU49zWot4tdjxPesMrg
#RAY#SOLANA#TESLACALLS