Liquid AI

LFM3-Omni-2B

Liquid AI's first full-modality model: about 2.2B parameters, taking image/video/audio/text in and text plus 24kHz speech out, 32K context per the model card, 16 text and 19 speech languages, LFM Open License v1.0, non-reasoning. The official family also spans Base/1.7B text (256K), VL-2B, Audio-2B and d1 decision variants. On-device full-modality is a specialist capability — the AA/Pi text indices and the Physics video board do not apply; card benchmarks (Daily-Omni 70.1 and more) and its Oct 31 HF trend popularity are recorded separately as vendor figures and popularity facts.

Original model explanation ↗

No comparable leaderboard score is included yet. Explore the evaluations and examples below.

Evaluations: conditions and results

Liquid AI model evolution

  1. LFM3 家族 · 发布

    The LFM3 open-weight family launches (Base/1.7B text with 256K context, VL-2B, Audio-2B, Omni-2B and d1 decision variants), pitched at on-device deployment; Omni-2B is ~2.2B parameters taking image/video/audio/text in and text plus speech out. Card benchmarks and its Oct 31 HF trend popularity are recorded as vendor figures and popularity facts, not capability evidence.

    Original release ↗