Liquid AI releases LFM2.5-24B-A2B: 24B params, 2B active, 131K context, open weights
JosephJacks_ · x · 2026-10-15
Liquid AI released LFM2.5-24B-A2B, the largest LFM2.5 family member, an efficient local model for laptops/PCs designed to run multi-step tasks in agent harnesses. Specs: 24B total/2B active parameters, 131K context, 128K vocabulary, 33T pretraining tokens, reasoning-capable, claimed competitive with Qwen3.6-35B-A3B on agentic and tool-use tasks despite 50% fewer parameters. Open base and post-trained weights on Hugging Face; easy to fine-tune.
Related event: LiquidAI Releases LFM2.5-24B-A2B, an On-Device MoE Reasoning Model(13 posts)→
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