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We built a free open-source iOS app that runs local LLMs with three backends - MLX, llama.cpp and Core ML

This story is from 2026-08-29. It is preserved in the archive; the latest stories are on the live feed.

Pocket AI Lab just hit the App Store. It runs models fully on-device on iPhone, is free and MIT-licensed We built it because the iPhone quietly became a genuinely capable ML machine, an ARM chip with fast unified memory that a 4-bit model fits into comfortably. At the same time the big labs got ser…

Read the full story at r/LocalLLM ↗

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  1. 2026-08-29 14:14 · r/LocalLLM
    We built a free open-source iOS app that runs local LLMs with three backends - MLX, llama.cpp and Core ML

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  2. Qwen3.8-Flash-Next-Heretic2-IQ4XS on Halogen Flash Server vs llama-server on Strix Halo: 2.3-7.7x prefill speedup with half the VRAM (+ vision works on BYO GGUF) — r/LocalLLM
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  5. CUDA: enable sparse fa for qwen4 by am17an · Pull Request #28770 · ggml-org/llama.cpp — r/LocalLLaMA
  6. focus-llama: a llama.cpp fork implementing Declarative Attention (arXiv:2609.02737) — r/LocalLLaMA
  7. I ran Opencode and PI against the same local model on 3 identical projects, same prompts, same hardware... — r/LocalLLM
  8. I benchmarked 13 model/quant configs on a GPU with no tensor cores (Vega iGPU + Vulkan) and wrote it up as a measurement study — the quant encoding suffix matters more than you'd think — r/LocalLLM

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