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[ARTICLE · art-150069] src=marktechpost.com ↗ pub= topic=artificial-intelligence verified=true sentiment=↑ positive

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

Liquid AI released LFM2.5-24B-A2B, an open-weight 24B Mixture-of-Experts reasoning model with 2B active parameters aimed at on-device agents. The model scores 48.09 on LiveClaw and decodes 184 tokens/s on an Apple M5 Max.

by read1 min views2 publishedOct 14, 2026

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.

The post Liquid AI Releases LFM2.5-24B-A2B: A 2B-Active MoE for On-Device Agents appeared first on MarkTechPost.

source & further reading
marktechpost.com — original article Google Releases Gemini 4 Argon API With 1M Token Output Limit Z.ai GLM-Legal Beats Claude Fable 5 and Kimi K3 on Harvey LAB Alibaba Qwen Introduces QwenGyre: Elastic Reinforcement Learning RL for XLong-Horizon Agents
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