Web search for a 1.7B model running fully on a phone, no search API and no backend (open source)
We just shipped web search in Private Mind, our open source app for running LLMs locally on iOS and Android.
Proof1 community thread
Key points
- The video is the whole pitch: Qwen 3 1.7B with web off makes up Apple's September event, with web on it gets it right and cites 5 pages.
- The fun constraint is that a 1.7B model with a short context can't just read 5 web pages.
- A hidden WebView on the phone opens DuckDuckGo (Brave and Mojeek as fallbacks) and we parse the results page
- An on-device embedding model (LFM2.5, ~415MB) plus some keyword matching picks the best 6 chunks, max 3 from one page
Sources (1)
- [1]Web search for a 1.7B model running fully on a phone, no search API and no backend (open source)r/LocalLLaMA (top, daily) · Oct 14, 11:28 AM
We just shipped web search in Private Mind, our open source app for running LLMs locally on iOS and Android.
The video is the whole pitch: Qwen 3 1.7B with web off makes up Apple's September event, with web on it gets it right and cites 5 pages.
Extractive summary: sentences quoted from the sources.
Before this
- Oct 14, 2026mistralai/Timestral-209M
- Oct 13, 2026Claude CoWork for Local LLMs that runs on your Phone
- Oct 13, 2026Run fast, private agents on-device with LFM2.5-24B-A2B
- Oct 13, 2026Flama: 8 years building a Python framework where ML models and LLMs are first-class, now written up on arXiv [P]
- Oct 13, 2026Hybrid Reasoning Agents
- Oct 13, 2026Fish Audio Drama 3 Technical Report
