LFM2.5-24B-A2B: Built for Fast On-Device Agents
LFM2.5-24B-A2B: an open-weight 24B reasoning model with 2B active parameters, built for fast, private on-device agents. Beats Qwen3.6-35B-A3B on LiveClaw.
LFM2.5-24B-A2B is a reasoning model with 24 billion total parameters and 2 billion active parameters, built for fast, private on-device agents. It combines gated short convolutions and attention with a mixture-of-experts architecture.
Liquid AI
d1-Omni-2B is a decision model built on LFM3-Omni-2B. It reads text and images, listens to audio, and answers multiple questions in a single forward pass, each with a calibrated probability.
Liquid AI
d1-2B is a decision model built on LFM3-VL-2B. It reads text and images and answers multiple questions in a single forward pass, each with a calibrated probability.
Liquid AI
LFM3-Omni-2B brings vision, audio, and language together in a single on-device model that can see, listen, and talk back.
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