Neuro vs dev1ce

Neuro lets you fine-tune real AI language models directly on your iPhone — no cloud, no servers, no data leaving your device. Pick a base model from the built-in catalog, choose a dataset (or bring your own), and train a specialized version tuned to your task. Everything runs locally using Apple's Neural Engine and GPU, powered by RWKV — an efficient architecture built for on-device use. FEATURES • Browse and download open models and datasets • Five training intensity levels, from light head-tuning to deep fine-tuning • Real-time training progress: loss, accuracy, memory usage • Fully offline — your data never leaves your device • Free and open source Neuro is built for people who want to experiment with real machine learning on real hardware, without renting a GPU or sending data anywhere. Whether you're a student, a researcher, or just curious how fine-tuning works, Neuro gives you a hands-on, private way to do it. This is an early release — expect rough edges, and expect it to get better. Feedback and contributions are welcome on GitHub.

Dev1ce shows current device information in a simple native-style app. Check app, runtime, device, battery, storage, network, location, and motion data in one place. Capture the current state as a record, open it immediately, review saved records later, and share all records as CSV. The app supports raw mode, localized labels, and per-section refresh settings.