# SGLang adds day-0 support for Liquid AI's LFM3 small models

> Original title: SGLang has Day-0 support for LFM3 from @liquidai! LFM3 is a family of small models built to be specialized and run anywhere.

- Source: SGLang
- Published: 2026-10-27T17:13:12.000Z
- Bad Influence: https://badinfluence.news/items/olj3niy8ghrjyjjaupqrxedop
- Original: https://x.com/sgl_project/status/2115129701639569612

## Summary

SGLang says it supports Liquid AI's LFM3 family on day zero, with a specialized small-model suite that can run on the edge. The post says LFM3-1.7B beats LFM2.5-2.6B with 35% fewer parameters, and that it fits in about 1 GB at 4-bit with a 256K context. A sample sglang serve command for LiquidAI/LFM3-1.7B is shown, and the models can be fine-tuned on a single GPU.

## Post

SGLang has Day-0 support for LFM3 from @liquidai! LFM3 is a family of small models built to be specialized and run anywhere.

· New tri-hybrid architecture: LFM3-1.7B beats LFM2.5-2.6B with 35% fewer parameters
· One backbone for every modality: text, vision (now with video), audio, omni, and decision
· Built for the edge: ~1 GB at 4-bit, 256K context for on-device agents
· Fine-tunes on a single GPU

Get started with SGLang 👇

![](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FHVpzDsabUAANrSh.jpg&mode=thumb&exp=1793404800&sig=cb8beadd7d0151fc)

## 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