Liquid AI Releases 24B Open-Source Model Optimized for Consumer GPUs

Liquid AI Releases 24B Open-Source Model Optimized for Consumer GPUs

Liquid AI has released LFM-2.5-24B-A2B, a 24B-parameter open-source model optimized for efficient local deployment on consumer GPUs. Using innovative liquid-inspired architecture instead of standard transformers, it delivers strong performance on reasoning, coding, and long-context tasks while using modest memory. This enables private, low-latency AI use across many professional fields.

Liquid AI Releases LFM2.5-24B-A2B for Local AI Workflows

Liquid AI released LFM2.5-24B-A2B on Oct. 13, introducing an open-weight reasoning model designed to run AI agents locally on laptops and other supported hardware. For IT teams, it offers another way to automate tasks while keeping model inference on their own equipment. The model has 24 billion parameters but activates approximately 2.45 billion per token, […]

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. It targets local agents, scoring 48.09 on LiveClaw and decoding 184 tokens/s on an Apple M5 Max.