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Source channel @githubtrending · Post #14974 · Jul 19

#cplusplus ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4]. https://github.com/ikawrakow/ik_llama.cpp

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Amazing Geography 🌍

@amazingeo · Post #212 · 09/10/2025, 04:12 PM

🌍 Milan has over 3 million trees as part of its city plan, giving it more trees than people. Urban forests like this reduce heat, clean air, and boost well-being for city residents. ✨ #cities⚡#sustainability⚡#planning⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography🌍 ​

Amazing Geography 🌍

@amazingeo · Post #104 · 08/23/2025, 08:12 PM

🌍 Hong Kong’s extensive network of elevated walkways—some stretching over 800 meters—lets people travel between major buildings without ever touching the street, maximizing space in the crowded city. ✨ #urban⚡#planning⚡#cityscape⚡#infrastructure⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography🌍 ​

GitHub Trends

@githubtrending · Post #14639 · 04/27/2025, 01:00 PM

#python#agent_computer_interface#ai_agents#computer_automation#computer_use#grounding#gui_agents#in_context_reinforcement_learning#memory#mllm#planning#retrieval_augmented_generation Agent S2 is a smart AI assistant that handles computer tasks by breaking them into smaller steps and using specialized tools for each part, making it highly adaptable and efficient across different systems like Windows and Android. It outperforms other AI tools in completing complex tasks, learns from experience, and adjusts plans as needed, helping users automate digital work more reliably and effectively. https://github.com/simular-ai/Agent-S