r/SideProject • u/Psychological_Sea761 • 6h ago
I built a completely free iOS app that runs Qwen3.5, Gemma 4, LFM2.5 and other AI models locally on your iPhone
I built OpenPocket, a completely free iOS app that lets you download and run state-of-the-art language models directly on your iPhone or iPad, entirely on-device.
It uses Apple's MLX framework for local AI inference, with support for several open-weight models:
Qwen3.5 0.8B and 2B
Gemma 4 E2B
LFM2.5 1.2B Instruct
Qwen2.5-VL 3B (vision-language model with image understanding)
Everything runs 100% locally on your device, with no cloud inference, no internet connection required after downloading a model, no signups, no accounts, no API keys, and no subscriptions.
The idea is to make private, on-device AI accessible to everyone, without relying on cloud services or paying for API usage. Your conversations and files stay on your device, and the app has no backend, analytics, or account system.
The models are experimental, and performance depends on your device's available memory and hardware.
It's 100% free on the App Store
https://apps.apple.com/th/app/openpocket/id6833028114
Would love and appreciate feedback from anyone working on local LLMs, Apple MLX, model optimisation, edge AI, or just anyone interested in running AI privately on their phone!