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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 #65139 · 04/11/2026, 11:24 AM

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🚀 Bitcoin Futures Open Interest Hits 14-Month Low Amid Institutional Strategy Shift On April 11, the open interest in Chicago Mercantile Exchange (CME) Bitcoin futures fell to $8.41 billion, marking its lowest level in 14 months. According to BlockBeats, Glassnode analysts attribute this decline primarily to the unwinding of basis trades. Previously, this strategy involved establishing long positions through spot ETFs and hedging with short futures to earn the spread. However, the annualized returns have recently dropped from 15%-20% to around 5%, prompting institutions to take profits. Additionally, the daily trading volume of CME Bitcoin futures has decreased to below $3 billion. Analysts suggest that as institutional demand shifts towards directly holding spot assets, the leverage in the futures market is significantly decreasing. #BitcoinFutures#OpenInterest#CME#BasisTrades#InstitutionalStrategy#SpotETFs#FuturesMarket#Leverage#TradingVolume#BlockBeats#Glassnode#CryptoMarket#BTC

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