LFM 2.5

Name: LFM 2.5
Author: Liquid AI

by Liquid AI Chat · Tools · Thinking

LFM 2.5 is Liquid AI's efficient model family built on a liquid-foundation architecture designed for fast on-device inference. It includes a mixture-of-experts variant and supports tool use, targeting responsive assistants that run well on constrained hardware.

Publisher: Liquid AI (opens in a new tab)
API model name: lfm2-5:lfm2.5-350m
Context window: 125K tokens
Sizes: 350M, 1.2B, 8B
Licence: lfm1.0

Run LFM 2.5

Install it on a Pendra worker, then call it through our SDK with your pdr_sk_ API key.

Read the quickstart

from pendra import Pendra

client = Pendra(api_key="pdr_sk_...")

response = client.chat.completions.create(
    model="lfm2-5:lfm2.5-350m",
    messages=[{"role": "user", "content": "Hello!"}],
)

print(response.choices[0].message.content)

import { Pendra } from "pendra";

const client = new Pendra({ apiKey: "pdr_sk_..." });

const response = await client.chat.completions.create({
  model: "lfm2-5:lfm2.5-350m",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(response.choices[0].message.content);

Related models

LFM 2.5 VL

Liquid AI lfm2-5-vl

LFM 2.5 VL is Liquid AI's compact vision-language model, adding image understanding to the efficient LFM 2.5 line. Its small footprint suits multimodal assistants that need to run on-device or at low latency.

Chat · Vision

1.6B 125K context

Run LFM 2.5 on infrastructure you trust.

Deploy a worker, install LFM 2.5, and start serving it through one private API.

Try it free Read the quickstart