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LFM2 24B A2B

LFM2-24B-A2B uses Liquid AI’s hybrid backbone (gated short convolutions plus a limited number of attention layers) in an MoE configuration, targeting high throughput while keeping memory needs practical for consumer-class machines, and it is positioned for agentic tool use, offline summarization, and local RAG workflows.
Text Gen 4
Released: February 24, 2026

Overview

LFM2-24B-A2B is a hybrid Mixture-of-Experts language model designed for efficient on-device deployment, scaling to 24B total parameters with a small active parameter set per token.

About Liquid AI

Liquid AI is an MIT spin-off building efficient general-purpose AI models (Liquid Foundation Models, or LFMs) that run on edge devices with less memory and power.
They recently raised $250M in Series A funding to scale model development and deployment.

Company Size: 105
Location: Cambridge, MA, US
Website: liquid.ai
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Tools using LFM2 24B A2B

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Last updated: April 6, 2026
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