发生了什么: LFM2.5-24B-A2B: Built for Fast On-Device Agents

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

为何重要: LFM2.5-24B-A2B: Built for Fast On-Device Agents

Engineers building local AI agents or deploying reasoning models on consumer hardware like MacBooks or edge devices should evaluate this model for tool-use and agentic workloads.

注意: LFM2.5-24B-A2B: Built for Fast On-Device Agents

The model excels at tool-use benchmarks but lags on knowledge-heavy tasks like GPQA Diamond. Retrieval or web search pairing is recommended for knowledge-intensive applications.

新闻

LFM2.5-24B-A2B: Built for Fast On-Device Agents

Liquid AI · 发布于 2026年10月13日 · 阅读约3分钟

30秒读懂

发生了什么: Liquid AI released LFM2.5-24B-A2B, a 24-billion parameter model with only 2 billion active parameters per token, optimized for on-device agent applications.
为何重要: Engineers building local AI agents or deploying reasoning models on consumer hardware like MacBooks or edge devices should evaluate this model for tool-use and agentic workloads.
注意: The model excels at tool-use benchmarks but lags on knowledge-heavy tasks like GPQA Diamond. Retrieval or web search pairing is recommended for knowledge-intensive applications.

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Run fast, private agents on-device with LFM2.5-24B-A2BHugging Face

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