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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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AI match predictions

@ai_match_prediction · Post #11846 · 05/02/2026, 05:05 AM

Netherlands Eredivisie🇳🇱 2026-05-02 12:00 UTC Almere City FC vs. Den Bosch Predicted outcome: Den Bosch❌ Predicted score: 1:2 Actual: Almere City FC 3:0 #AlmereCity#DenBosch 2026-05-02 14:30 UTC Utrecht vs. NAC Breda Predicted outcome: Utrecht✅ Predicted score: 2:1 Actual: Utrecht 2:0 #Utrecht#Breda 2026-05-02 16:45 UTC Groningen vs. Excelsior Predicted outcome: Groningen❌ Predicted score: 2:1 Actual: Excelsior 2:3 #Groningen#Excelsior 2026-05-02 18:00 UTC Ajax vs. PSV Eindhoven Predicted outcome: Ajax❌ Predicted score: 3:2 Actual: Draw 2:2 #Ajax#PSVEindhoven 2026-05-02 19:00 UTC NEC Nijmegen vs. Telstar Predicted outcome: NEC Nijmegen❌ Predicted score: 2:1 Actual: Draw 1:1 #NECNijmegen#Telstar #Football#Eredivisie