What happened: Run fast, private agents on-device with LFM2.5-24B-A2B

LiquidAI released LFM2.5-24B-A2B, a 24-billion-parameter model with only 2 billion active parameters per token for on-device agentic AI.

Why it matters: Run fast, private agents on-device with LFM2.5-24B-A2B

Engineers building private agents, tool-use systems, or reasoning workflows that must run locally on consumer hardware without cloud dependencies.

Model excels at tool use and instruction following but lags on knowledge-heavy and coding benchmarks, requiring retrieval or web search augmentation.

In the news

Hugging Face · Published October 13, 2026 · 3 min read

What happened: LiquidAI released LFM2.5-24B-A2B, a 24-billion-parameter model with only 2 billion active parameters per token for on-device agentic AI.
Why it matters: Engineers building private agents, tool-use systems, or reasoning workflows that must run locally on consumer hardware without cloud dependencies.
Watch out: Model excels at tool use and instruction following but lags on knowledge-heavy and coding benchmarks, requiring retrieval or web search augmentation.

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