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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 #65336 · 04/13/2026, 12:34 AM

🚀 Bitcoin Faces Liquidity Challenges Amid Economic Indicators Bitcoin may face liquidity challenges, according to Delphi Digital's analysis. According to PANews, February's PCE data indicated a weakening in U.S. consumer spending even before the impact of the Iran conflict. Income levels have contracted, and real spending has shown almost no growth. Subsequently, March's CPI recorded a 3.3% increase, with energy accounting for three-quarters of the rise. The U.S. Leading Economic Index (LEI) is declining, typically leading real yields by about six months. The last occurrence of such a scenario was in 2022, when tight monetary policy coincided with an energy shock, resulting in Bitcoin's correlation with real yields turning deeply negative. #Bitcoin#LiquidityChallenges#EconomicIndicators#PCE#CPI#ConsumerSpending#USEconomy#LEI#RealYields#MonetaryPolicy#EnergyShock#BTC