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LFM2-VL-450M

Liquid AI · 2025-08-12 · 451M parameters

LFM2-VL-450M is the smaller of Liquid AI's first two vision-language models, released August 12, 2025 for highly constrained devices: the LFM2-350M language model with an 86M-parameter SigLIP2 NaFlex base vision encoder that reads images at native resolution. The card gives a 32,768-token text context and English support. The BF16 checkpoint contains 450,822,656 parameters, and the tokenizer assigns 64,400 distinct IDs within 65,536 embedding rows.

Benchmark scores

BenchmarkScore
BLINK42.6
Capability81.5
CountBenchQA47.6
IFEval - release-reported, metric unspecified51.8
InfographicVQA (val)44.6
MathVista (mini)45.3
MM-IFEval33.1
MM-Vet33.9
MME1230
MMLU40.2
MMLU Pro17.2
MMMU34.4
MMStar40.9
Multi-IF26.2
OCRBench657
POPE (F1, pooled over three settings)83.8
RealWorldQA - release-reported visual perception52.0
SEED-Bench (image)63.6
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