发生了什么: 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.

为何重要: 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.

新闻

Hugging Face · 发布于 2026年10月13日 · 阅读约3分钟

发生了什么: LiquidAI released LFM2.5-24B-A2B, a 24-billion-parameter model with only 2 billion active parameters per token for on-device agentic AI.
为何重要: Engineers building private agents, tool-use systems, or reasoning workflows that must run locally on consumer hardware without cloud dependencies.
注意: 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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