#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
A newly created wallet withdrew 139,557 $HYPE worth $5.49M from #Gate. Address: 0xee0a18b394ece1d7be81be15d6cec3ac7707b71c https://x.com/OnchainLens/status/2034936951275757877 Follow @onchainlens for more onchain updates
A newly created wallet withdrew 139,557 $HYPE worth $5.49M from #Gate.
Address: 0xee0a18b394ece1d7be81be15d6cec3ac7707b71c
https://x.com/OnchainLens/status/2034936951275757877
Follow @onchainlens for more onchain updates
After being dormant for 8 months, a whale deposited 2,11,343 $TRUMP worth $847.4K into #Gate, losing $1.28M.
The whale initially withdrew these $TRUMP for $2.13M from #Gate.
The whale also holds 18,787 $SOL ($1.66M), losing $1.62M.
Address - 7HqAk2h4cJZqyKdbzKEqm4JeWBnKMitVrwFMoEgqE93D
https://x.com/OnchainLens/status/2033095024649601045
Follow @onchainlens for more onchain updates
Wallet 0x011 (likely @ambergroup_io) withdrew 3M $SAFE ($6.72M) from #Gate.io at $2.25 for the first time 6 hours ago.
Notably, the $SAFE price has dropped ~36% since it became transferrable on April 23, 2024. Was this a good entry? 🤔
Follow @spotonchain and set alerts for Amber Group now via https://platform.spotonchain.ai/en/entity/80