Running a local LLM with llama.cpp and it feels slow? Check these 3 first:
-t set threads to your physical cores, not logical. more threads often makes it slower
-ngl offload layers to the GPU. even partial offload helps a lot if VRAM is tight
-c don't max the context unless you
- Private AI on my phone, fully offline. Qwen3 4B on a Samsung Xclipse 960 GPU (Vulkan) through llama.cpp, running inside my own app Meridian: 232 t/s prompt, 23 t/s generation. Nullcloud: free, open-source summarizer for Termux. Share any page and get a summary, no cloud.
- Termux tip that saves 40 minutes of build errors: never pip install --upgrade pip, and don't let pip compile numpy. Use pkg install python-pip python-numpy python-psutil instead.
- Demis Hassabis built Gemini to master native video, giving it a massive edge over text-only AI. Rivals focusing on raw speed face a huge disadvantage soon. This world model will completely reshape your creative studio and workplace forever. Full story:
- New game unlocked: Termux, but you don't have to remember the commands #anthropic #groq #grok #openrouter #gemini #openai #xAi #termux00:00Made with AI


