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on-mobile-llm is a research-style project that evaluates how well small language models (0.5B–2B parameters) run fully offline on an Android smartphone using GGUF + llama.cpp + Termux. The goal is …
"Universal AI security framework - Protect LLM applications from prompt injection, jailbreaks, and adversarial attacks. Works with OpenAI, Anthropic, LangChain, and any LLM."