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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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SLEX NEWS

@slex_io · Post #163 · 02/23/2024, 09:21 AM

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🤝New Exciting Partnership: SLEX Exchange Has Joined the Syscoin Ecosystem🥳 ☄️We're thrilled to announce that SLEX Exchange is now a member of the Syscoin ecosystem. It supports low-cost transactions, high throughput, and a variety of decentralized finance (DeFi) applications, making it an attractive ecosystem for developers and users alike✨ 📊Joining the Syscoin ecosystem is part of our broader initiative to support a diverse range of blockchains, enhancing the trading experience for our users. We're excited to support the following blockchains, each bringing unique strengths to the table: 🔗Scroll 🔗Zora 🔗Arbitrum 🔗Optimism 🔗zkSync 🔗Linea 🔗Base 🔥Stay tuned for more updates as SLEX will continue to grow and evolve, providing new exciting features for efficient trading! #SLEXExchange#SyscoinEcosystem#BlockchainDiversity#CryptoTrading#Innovation#FutureFinance

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