Running Liquid AI Models On-Device with the Apollo iPhone App
Melvin Vivas · X post · 2026-08-11 · Open on X
Topics: LLM Fundamentals, AI Dev Tools & Productivity · Level: beginner
Summary
The creator tries Liquid AI's models directly on his iPhone through the Liquid Apollo app. It is a quick pointer for anyone who wants to try small on-device language models.
Key points
- Liquid AI's models can run locally on an iPhone.
- The Liquid Apollo app is the way to try them on-device.
- Small, efficient models make mobile and edge inference possible.
Resources mentioned
- Liquid AI (@liquidai) on X · website · x.com · free
An AI company that builds efficient foundation models. The quoted post shows its PII handling working on Japanese text.
Also in: Zero-Shot Prompt Routing with Liquid AI's LFM 2.5-Encoder-350M (Melvin Vivas on X · notes), Liquid AI LFM 2.5 Encoder: a CPU-friendly encoder model (Melvin Vivas on X · notes), Fine-tuning Liquid AI LFM2/LFM2.5 MoE models with the new Halo framework (Melvin Vivas on X · notes), Liquid AI's LFM2-Longevity models for aging-data analysis (Melvin Vivas on X · notes) and 19 more - Liquid Apollo · tool · liquid.ai · free
Liquid AI's mobile app for running its models on-device.
Try this
- Try Liquid AI models on your phone with the Liquid Apollo app.
More in LLM Fundamentals
- LFM2.5-VL-3B: a lightweight VLM for screens, documents and tool calls
- NVIDIA Nemotron 3.5 Lightning: Fast Open MoE Model for Agents
- Claude Sonnet 5 Pricing Made Permanent ($2/$10 per M Tokens)
- Muse Glimmer 30B: Unsloth GGUF Release and Run Guide
- Transferable KV Cache: Reusing One Model's Cache in Another
- DeepSeek V4 Flash at 90% Off on Nous Portal