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
| Benchmark | Score |
|---|---|
| BLINK | 51.0 |
| Capability | 109.7 |
| InfographicVQA (val) | 67.4 |
| MathVista (mini) | 62.2 |
| MM-IFEval | 51.8 |
| MME | 2051 |
| MMMU | 45.3 |
| MMStar | 57.7 |
| OCRBench | 822 |
| POPE (F1, pooled over three settings) | 89.0 |
| RealWorldQA - release-reported visual perception | 71.4 |
| SEED-Bench (image) | 76.5 |