# Liquid AI releases LFM3, a family of 2B-class multimodal models on one backbone

> Original title: Build specialized multimodal models with LFM3

- Source: Hugging Face Blog
- Published: 2026-10-27T17:16:52.000Z
- Bad Influence: https://badinfluence.news/items/mn2amuhzxpdqf1xegrtvuw8de
- Original: https://huggingface.co/blog/LiquidAI/lfm3

## Summary

Liquid AI releases LFM3, a family of six 2B-class models for text, vision, audio, omni, and decision tasks, all built from LFM3-1.7B-Base. The company says LFM3-1.7B outperforms LFM2.5-2.6B with 35% fewer parameters, and the text model fits in about 1 GB at 4-bit precision with a 256K context window. All models are open-weight on Hugging Face and can be fine-tuned on a single GPU.

## Why it matters

The post names the backbone changes, benchmark results, and per-model Hugging Face usage details, giving a concrete basis for evaluating the family against LFM2.5.