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Liquid AI has introduced LFM2.5-24B-A2B, an open-weight Mixture-of-Experts model designed specifically to enable high-performance reasoning on local hardware like the Apple M5 Max. By activating only 2 billion parameters out of a 24-billion parameter total, this architecture aims to balance advanced agent capabilities with the strict latency and memory constraints of edge devices. This release represents a significant step forward in making sophisticated AI agents viable for on-device deployment without relying solely on cloud connectivity.
Source coveringMarkTechPost
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Liquid AI Releases LFM2.5-24B-A2B: A 2B-Active MoE for On-Device Agents

MarkTechPost1 min read

Liquid AI released LFM2.5-24B-A2B, an open-weight 24B Mixture-of-Experts reasoning model with 2B active parameters. It targets local agents, scoring 48.09 on LiveClaw and decoding 184 tokens/s on an Apple M5 Max. The post Liquid AI Releases LFM2.5-24B-A2B: A 2B-Active MoE for On-Device Agents appeared first on MarkTechPost.

Read the full article at MarkTechPost

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