Liquid AI AI releases & news
Every Liquid AI AI release AI/TLDR has verified from a primary source: 8 so far, mostly 8 models. Latest: LFM3 — Liquid AI's 2B-class open models for text, vision, audio and omni (2026-10-27).
8 releases tracked · www.liquid.ai
- LFM3 — Liquid AI's 2B-class open models for text, vision, audio and omni
Six small open models from Liquid AI share one 1.7B backbone and cover text, images, video, speech and calibrated decisions.
- LFM2.5-24B-A2B — Liquid AI's biggest on-device agent model
A 24B open-weight MoE that wakes only ~2B parameters per token, built to run agents on laptops.
- LFM2.5-DSpark — Liquid AI's draft models decode up to 3.18x faster
Three ~300M draft models that make Liquid AI's small on-device models decode two to three times faster, with identical output.
- LFM2.5 Q4_0 — Liquid AI's 4-bit models keep 96%+ of full accuracy
LFM2.5's new Q4_0 checkpoints are trained as 4-bit models rather than squeezed into 4 bits afterwards.
- LFM2.5-VL-3B — Liquid AI's 3B vision model reads screens on a phone
A 3.1B open-weights vision model that reads phone and desktop screens, points at objects, and calls tools on-device.
- LFM2.5-2.6B — Liquid AI's 2.6B on-device agent competes with 4x-larger models
A 2.6B open-weight agent that plans, calls tools, and runs entirely on phones, laptops, and robots.
- Liquid AI Ships LFM2.5-8B-A1B — On-Device MoE With 1B Active Parameters, 38T Training Tokens, 128K Context, and Explicit Chain-of-Thought
8B-total / 1B-active mixture-of-experts trained on 38 trillion tokens, tuned for on-device agentic work with explicit chain-of-thought.
- LFM2.5-VL-450M — Liquid AI's Tiny Vision-Language Model for Edge
A 450M-parameter vision-language model that runs on a phone, understands 8 languages, and can locate objects in images.