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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 #64885 · 04/10/2026, 06:54 AM

🚀 Tria Integrates Aptos Network for Enhanced Global Transactions Tria, a non-custodial financial operating system, has announced the integration of its global trading engine with the Aptos network. According to ChainCatcher, this integration allows over 500,000 users across more than 150 countries to directly access and trade Aptos assets. Users can now perform cross-chain exchanges and asset interactions within a single application without the need for cross-chain bridges. The collaboration aims to leverage Aptos's sub-second confirmation and parallel execution technology to provide users with a seamless transaction experience. Additionally, it seeks to further connect traditional finance, Web2, and on-chain infrastructure. #Tria#AptosNetwork#GlobalTransactions#NonCustodial#FinancialOperatingSystem#CrossChainExchanges#AssetInteractions#Blockchain#Web2#OnChainInfrastructure#Aptos#Crypto#DecentralizedFinance#Fintech#APT