LFM2.5-24B-A2B Brings Faster Reasoning Agents to Local Hardware

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Source post: https://blogs.a2techify.com/ai/engineering/2026/10/18/lfm2-5-24b-a2b-local-agents.html LinkedIn URL: TODO after publishing

Newsletter Title

LFM2.5-24B-A2B Brings Faster Reasoning Agents to Local Hardware

Intro

Liquid AI’s open-weight LFM2.5-24B-A2B activates 2B of its 24B parameters per token, supports tool use, and ships in formats for local agent runtimes.

Takeaways

• LFM2.5-24B-A2B is the largest and final model in Liquid AI’s LFM2.5 family, combining a reasoning-first checkpoint with broad support across local inference runtimes.
• Local agents need more than a model that writes plausible text.
• The first question is whether the benchmark strength survives real harness integrations across quantizations.

CTA

Read the full note: https://blogs.a2techify.com/ai/engineering/2026/10/18/lfm2-5-24b-a2b-local-agents.html

Publishing Notes

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Topics: local-ai, agents, quantization