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Source channel @githubtrending · Post #14815 · Jun 10

#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

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Crypto M - Crypto News

@CryptoM · Post #64665 · 04/09/2026, 01:15 PM

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🚀 Gibbs Mura Investigates Drift Protocol Theft in Class Action Gibbs Mura, a U.S. law firm, has announced a class action investigation into the theft involving Drift Protocol, with the funds involved estimated between $280 million and $285 million. According to ChainCatcher, over $230 million in USDC was transferred to Ethereum via Circle's Cross-Chain Transfer Protocol (CCTP). Gibbs Mura argues that although Circle has the technical capability to freeze funds, it did not take such action during the attack. The firm is currently assessing whether investors can claim against Circle for 'failure to intervene timely,' 'insufficient monitoring,' and 'not fulfilling stablecoin responsibilities.' Affected users are encouraged to join the lawsuit to aid in the recovery of funds. #GibbsMura#DriftProtocol#ClassAction#TheftInvestigation#USDC#Ethereum#Circle#CrossChainTransfer#StablecoinResponsibilities#FundsRecovery

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