# Liquid AI releases the LFM3 family of small open-weight models

> Original title: Here is a complete family of open-weight, small models for text, vision, audio, and structured decisions.

- Source: Santiago
- Published: 2026-10-27T17:26:30.000Z
- Bad Influence: https://badinfluence.news/items/vbsyd78wtl7gzvu9xp0iy8jt4
- Original: https://x.com/svpino/status/2115133048153067857

## Summary

Liquid AI introduces LFM3, a family of six open-weight models for text, vision, audio, omni, and decision tasks. Most variants are about 2B parameters, and the source says they can be fine-tuned on one GPU and run on-device. Liquid AI also claims LFM3-VL-2B performs competitively with Gemma 4 12B, a model six times larger, and that LFM3-1.7B ranks first on the Pareto frontier of device intelligence.

## Post

Here is a complete family of open-weight, small models for text, vision, audio, and structured decisions.

They are around 2B parameters.

You can easily fine-tune these models and start using them in your application.

## Quoted post @liquidai

> Introducing 𝙻𝙵𝙼𝟹: our new generation of Liquid Foundation Models. With a new tri-hybrid architecture and new multimodal encoders, the LFM3 family is the ideal model suite for specialized intelligence.
> 
> > 6 model instances, across text, audio, vision, and omni modalities, generative and decision models.
> > 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱: text, 256k context window.
> > 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱: vision-language model with video-input support for spatial understanding
> > 𝙻𝙵𝙼𝟹-𝙰𝚞𝚍𝚒𝚘-𝟸𝙱: tool calls, voice chat, reasoning in 18 languages.
> > 𝙻𝙵𝙼𝟹-𝙾𝚖𝚗𝚒-𝟸𝙱: an omni model combines vision, audio, and language.
> > 𝚍𝟷-𝟸𝙱 and 𝚍𝟷-𝙾𝚖𝚗𝚒-𝟸𝙱: decision models with typed outputs and calibrated probabilities in a single pass. Omni adds audio input.
> > fine-tune on 1 GPU.
> > a new tri-hybrid architecture
> > architecture optimized for 14 processor classes across GPUs, CPUs, and NPUs.
> > 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱 is a beast. It performs competitively with Gemma 4 12B (6x larger), and Gemini 3.5 Flash Lite, and GPT-5.6 Luna, with 1.9B parameters.
> > 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱 is #1 on the Pareto frontier of device intelligence 𝚙𝚒𝚙𝚎𝚝𝚝𝚎.𝚕𝚒𝚚𝚞𝚒𝚍.𝚊𝚒
> 
> Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device.
> 
> 1/ 🧵

https://x.com/liquidai/status/2115128329003303107