Liquid AI Reveals Training Stack for On-Device 1B Models
JosephJacks_ · x · 2026-08-01
Liquid AI's head of post-training shared how to build a 1B parameter small model that runs on-device under 1GB in just 20 minutes.
Core Tech Stack:
- Base model: LFM2.5
- On-policy preference alignment
- Agentic reinforcement learning
- Curriculum training
- Iterative model merging
This training loop enables frontier small models to outperform traditional 70B models on practical tasks.
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