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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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Venture Village Wall 🦄

@venturevillagewall · Post #3758 · 12/31/2024, 07:00 AM

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2023 Reflections and Initiatives Key takeaways from the past year: Emphasis on founder-side roles, collaborations with dynamic teams, and growth initiatives. Initiated two accelerators: triangle.tg connecting TON to Web3, supporting 11 teams with notable backers like Binance Labs, GSR, and others. Launched Gaming.tg with Anton from Helika.io, focusing on the gaming sector. Significant partnerships emerged, enhancing the value for founders. Currently supporting promising Telegram ecosystem projects, anticipating a return to article writing in 2025. Appreciating the support received and lessons learned. #FounderSide#Web3#TON#Accelerator#Gaming#BinanceLab#GSR#Polychain#DelphiDigital#Blackrock#TriangleTG#GamingTG#Community#Innovations#Telegram#Investments#2023Reflections#CholyLabs#Projects#Support#Partnerships#Leadership