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Liquid AI releases LFM2.5-24B-A2B for fast, private on-device AI agents

New 24-billion-parameter model designed to run AI agents locally without sending data to external servers.

Summarized from Hugging Face Blog, . 20-second read.

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Liquid AI has released LFM2.5-24B-A2B, a 24-billion-parameter language model optimized for running directly on devices. The model emphasizes speed and privacy by keeping data local rather than requiring cloud connections.

The release arrives as builders seek alternatives to cloud-dependent AI systems, particularly for applications where latency and data privacy matter. Models of this size and optimization level target developers building autonomous agents and reasoning systems that need to operate independently.

Read the full story at Hugging Face Blog

This is an AI-written summary. The original reporting belongs to Hugging Face Blog. How we write these · Spot a mistake?

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