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

Liquid AI 发布 LFM2.5-24B-A2B 面向设备端智能体

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-14 07:50

Liquid AI 发布了 LFM2.5-24B-A2B，这是一款开放权重、拥有 240 亿参数的混合专家（Mixture-of-Experts）模型，专为设备端智能体设计。该模型每个 token 激活约 20 亿参数，拥有 131,072 token 的上下文窗口。它在智能体和工具使用基准测试中表现出色，在 AutomationBench 等特定任务上超越了更大的模型，而 Qwen3.6-35B-A3B 等更大的模型在知识和编码任务上表现更好。 AI

影响使更强大的 AI 智能体能够直接在消费级硬件上运行，减少对云服务的依赖。

排序理由前沿实验室模型发布，包含系统卡和基准数据。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 MarkTechPost 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 30 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Significant; 前沿实验室模型发布，包含系统卡和基准数据。[lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release, product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

MarkTechPost TIER_1 English(EN) · Asif Razzaq · 2026-10-14 07:50

Liquid AI 发布 LFM2.5-24B-A2B：面向设备端代理的 2B 激活 MoE

<p>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.</p> <p>The post <a href="https://www.marktechpost.com/2026/10/14…

本文如何被排名

报道来源 [1]

Liquid AI 发布 LFM2.5-24B-A2B：面向设备端代理的 2B 激活 MoE

相关实体

相关话题