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CommunityCookbooks & Demos1 starsVerified 2026-09-22

PocketJev

An experimental iOS app that turns an on-device Qwen3-VL model into a multiple-choice decision tool: it reads next-token logits for A/B/C and scores 2-26 supplied options without generating any text.

Category
Cookbooks & Demos
Published by
Community
Author
NullPo-jp
Added
2026-09-22
Tagscommunityswiftiosmlxprivacy

Highlights

  • Reads next-token logits for A/B/C and shows a relative score per option for 2-26 choices, avoiding free-form generation and JSON parsing.
  • Uses mlx-community/Qwen3-VL-2B-Instruct-4bit (about 1.78 GB, Apache-2.0), downloaded on first use and cached on the iPhone.
  • Inference runs on-device with no image-upload or telemetry path; network access is used only to fetch the model from Hugging Face.
  • Supports YES/NO/UNKNOWN visual checks, editable questions, reusable option sets, and 1/2/5-second continuous-decision modes.
  • The README warns that displayed percentages are relative scores among supplied choices, not calibrated probabilities of correctness.

Quickstart

bash
git clone https://github.com/NullPo-jp/PocketJev.git
cd PocketJev
xcodegen generate
open PocketJev.xcodeproj

Watch out

MIT-licensed (the Qwen3-VL MLX weights are separately Apache-2.0); needs Xcode 26, iOS 18+, an iPhone with enough memory for the 4-bit 2B model, and network for the first download, and no latency or accuracy benchmarks are published.

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