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Features you use a hundred times a day, on LiteRT.js
mlboydaisuke
• Daisuke Majima (MLBoy) PRO
mlboydaisuke
AI & ML interests
On-device AI. Core AI model zoo (60+ models) · devicemark iPhone LLM leaderboard · author of "The Art of Core AI" → github.com/john-rocky
Recent Activity
updated a model about 2 hours ago
litert-community/Qwen3.5-35B-A3B posted an update about 4 hours ago
WeVisOne-VL-4B on a Galaxy S26: Android developers can have their app box the objects a user names in a photo, with no detector to train.
https://huggingface.co/litert-community/WeVisOne-VL-4B
By WeChat Vision at Tencent, built on Qwen3-VL: detection, pointing, counting and OCR.
In the clip, an offline test app runs it on the GPU: a 1967 NASA photo, Detect "person, hat", and 3 people and 2 hats boxed 7.3 s after the Ask tap.
To run it: load the 3.5 GB file with the litertlm-android 0.19.1 library, as in the clip; the card has the resize step and the task prompts. updated a model about 4 hours ago
litert-community/LFM2.5-VL-1.6BOrganizations
published an article 3 months ago