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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 Fight || News 🚀

@cryptofightnews · Post #2718 · 05/20/2025, 03:03 AM

🎯🚀#ABG began as a small idea fueled by big dreams. With a clear mission, a dedicated team, and strong community support, the project continues to grow with purpose. While we’re still in the development phase, our focus remains on building real solutions to real problems. We’re confident that, with persistence and collective effort, $ABG will evolve into a thriving ecosystem and achieve lasting success. The journey is ongoing, our commitment is unwavering. 🔥🔥 🔥https://x.com/abitcoingold/status/1924388768058130544

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Libertà è ragione

@libertaeragione · Post #3993 · 10/09/2023, 09:08 AM

#Elezioni#Germania#Regionali#Assia Risultati definitivi: Affluenza: 66% #CDU|EPP: 34,6% #AfD|ID: 18,4% #SPD|S&D: 15,1% #Grüne|G/EFA: 14,8% #FDP|RE: 5% #FW|RE: 3,5% #Linke|LEFT: 3,1% #TIER|LEFT: 1,5% #Volt|G/EFA: 1% #PARTEI|NI: 0,8% #dieBasis|No-vax: 0,5% #Piraten|G/EFA: 0,3% #V3|Animalisti: 0,3% #Humanisten|Umanisti di centro: 0,2% #ABG|Anti-corruzione: 0,2% #ÖDP|G/EFA: 0,2% #Klimaliste|Verdi: 0,2% #Verjüngungsforschung|Pro-ricerca sulla medicina contro l'invecchiamento: 0,1% #APPD|Anarchici satirici: 0,1% #DKP|Estrema sinistra: 0,1% #DNM|Centro: 0% @OsservatorioEsteri