TurboLLM: Offline AI Chat

TurboLLM runs real large language models directly on your Android phone's CPU — no cloud, no account, no subscription, and no internet connection required once a model is downloaded. WHY LOCAL AI Most "AI chat" apps are a thin wrapper around someone else's cloud API: your prompts leave your phone, your conversations sit on a server you don't control, and the app stops working the moment you lose signal. TurboLLM is different. The model runs in a real on-device inference engine (llama.cpp, compiled for Android), and your conversation never has to leave your phone. WHAT YOU CAN DO - Chat with open-weight local LLMs — Llama, Qwen, Gemma, and any other GGUF model — fully offline, even in airplane mode. - Discover and download models straight from Hugging Face, right inside the app, with one tap. - The inference engine installs itself automatically the first time you need it — no manual setup, no compiling, no terminal. - Create custom AI agents with their own system prompt and skill/tool access, for different tasks — coding help, writing, research, or a completely blank slate with zero injected instructions. - Track your own usage over time: sessions, messages, total tokens generated, streaks, and your most-used model — all computed locally from your own history. - Fine-tune generation with per-chat controls: thinking budget, sampling, and reasoning effort, for models that support them. - The same interface as TurboLLM's desktop app (Windows, Mac, Linux) — if you've used TurboLLM on a computer, your phone works exactly the same way. PRIVACY BY DESIGN - No account, no login, no cloud backend for your conversations. - No telemetry, no analytics, no crash-reporting SDK phoning home in this build. - Chats and downloaded models live only in this app's private storage on your device. - Your prompts, files, and model weights are never sent to us or anyone else. The only network requests this app makes are ones you triggered yourself: downloading a model you picked, fetching the inference engine binary the first time it's needed, or a tool call you explicitly approved. WORTH KNOWING Inference runs on your phone's CPU, so speed depends on your chipset and the model size you pick — smaller models (1-4B parameters) feel the most responsive on most phones, and larger ones are there if your hardware can carry them. Active generation is real compute work, so expect normal battery and thermal load, same as any on-device AI task. WHO IT'S FOR Privacy-conscious users, local-AI enthusiasts, developers who already run TurboLLM or llama.cpp on a computer, and anyone curious what a genuinely offline LLM chat feels like on a phone — under your control, on your hardware, with nothing leaving the device.