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LFM2.5-VL-1.6B

Liquid AI · 2026-01-05 · 1.6B parameters

LFM2.5-VL-1.6B is Liquid AI's 1.6-billion-parameter vision-language model from the LFM2.5 on-device family, designed for low-latency multimodal inference on edge devices. It extends the LFM2.5 hybrid text architecture with a visual encoder, enabling image understanding alongside language tasks while remaining deployable on CPUs and NPUs. The model was released alongside other LFM2.5 variants as part of Liquid AI's push to bring production-ready multimodal agents to on-device hardware.

Benchmark scores

BenchmarkScore
AA-LCR0.0
AA-LCR v1.10.0
AA-Omniscience Index-84.4
Artificial Analysis Omniscience Accuracy5.8
Artificial Analysis Omniscience Hallucination Rate95.7
Artificial Analysis Openness Index27.8
Artificial Analysis Progress Index v1118
Capability101.0
CritPt (avg@5)0.0
GPQA Diamond (Artificial Analysis avg@5)28.9
Humanity's Last Exam (Text-Only)5.1
IFBench (Artificial Analysis avg@5)33.1
MMMU Pro26.5
SciCode (Artificial Analysis avg@3)3.0
Terminal-Bench Hard0.0
τ²-bench (Telecom)8.5
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