LFM2-VL-1.6B
Liquid AI · 2025-08-12 · 1.6B parameters
LFM2-VL-1.6B is the larger of Liquid AI's first two vision-language models, released August 12, 2025: the LFM2-1.2B language model with a 400M-parameter shape-optimized SigLIP2 NaFlex vision encoder that reads images at native resolution. The card gives a 32,768-token text context and English support. The BF16 checkpoint contains 1,584,804,000 parameters, and the tokenizer assigns 64,400 distinct IDs within 65,536 embedding rows.
Benchmark scores
| Benchmark | Score |
|---|---|
| BLINK | 44.5 |
| Capability | 97.2 |
| InfographicVQA (val) | 58.4 |
| MathVista (mini) | 51.7 |
| MM-IFEval | 46.4 |
| MM-Vet | 47.8 |
| MME | 1757 |
| MMLU | 51.0 |
| MMMU | 39.7 |
| MMStar | 49.9 |
| OCRBench | 729 |
| RealWorldQA - release-reported visual perception | 65.8 |
| SEED-Bench (image) | 72.0 |