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LFM2-VL-3B

Liquid AI · 2025-10-22 · 3B parameters

LFM2-VL-3B is Liquid AI's October 22, 2025 vision-language model built on the LFM2-2.6B language tower, whose 30 layers mix 22 gated short-convolution and eight grouped-query attention blocks, with a 400M-parameter SigLIP2 NaFlex vision encoder at native resolution. The card gives a 32,768-token text context and English support. The BF16 checkpoint contains 2,998,975,216 parameters, and the tokenizer assigns 64,400 distinct IDs within 65,536 embedding rows.

Benchmark scores

BenchmarkScore
BLINK51.0
Capability109.7
InfographicVQA (val)67.4
MathVista (mini)62.2
MM-IFEval51.8
MME2051
MMMU45.3
MMStar57.7
OCRBench822
POPE (F1, pooled over three settings)89.0
RealWorldQA - release-reported visual perception71.4
SEED-Bench (image)76.5
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