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
API model name: lfm2-5-thinking:1.2b
Context window: 125K tokens
Sizes: 1.2B, 350M, 8B
Licence: lfm1.0

Run LFM 2.5

Install it on a Pendra worker, then call it through the OpenAI-compatible API with a pdr_sk_ key.

from pendra import Pendra

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

response = client.chat.completions.create(
    model="lfm2-5-thinking:1.2b",
    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-thinking:1.2b",
  messages: [{ role: "user", content: "Hello!" }],
});

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

Run LFM 2.5 on your own UK infrastructure

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

Get started free Read the quickstart

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LFM 2.5 VL

Liquid AI