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Screenshots

  • Local LLM runner screenshot 1
  • Local LLM runner screenshot 2
  • Local LLM runner screenshot 3
  • Local LLM runner screenshot 4

About Local LLM runner

Run LLM on your iPhone, 100% local, no network (Network needed once to download a model) Models: • Qwen2.5 0.5B Instruct — ~0.4 GB (4 GB RAM) • Llama 3.2 1B Instruct — ~0.8 GB (4 GB RAM) • Qwen2.5 1.5B Instruct — ~0.9 GB (4 GB RAM) • Llama 3.2 3B Instruct — ~1.9 GB (6 GB RAM) • Qwen3 4B Instruct 2507 — ~2.5 GB (6 GB RAM) • Qwen2.5 7B Instruct — ~4.4 GB (8 GB RAM) Also: • Add your own GGUF (for example, from Hugging Face) • Auto-estimated max context from GPU memory; you can change it Requires iOS 18 or later. Tested on iPhone 11, 14 Pro, 15 Pro with iOS 26. Qwen models © Alibaba Cloud. Licensed under Apache License 2.0. Llama 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved. Built with Llama. On-device inference uses llama.cpp (MIT License).

What’s new

Version 0.1.914 · Updated September 23, 2026

• Add your own GGUF (for example, from Hugging Face) • Auto-estimated max context from GPU memory; you can change it • Clearer errors when a model does not fit or decode fails

App privacy

The developer, Valerii Lubnin, reported these privacy practices to Apple.

Data Not Collected

The developer does not collect any data from this app.

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