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
| Benchmark | Score |
|---|---|
| BLINK | 42.6 |
| Capability | 81.5 |
| CountBenchQA | 47.6 |
| IFEval - release-reported, metric unspecified | 51.8 |
| InfographicVQA (val) | 44.6 |
| MathVista (mini) | 45.3 |
| MM-IFEval | 33.1 |
| MM-Vet | 33.9 |
| MME | 1230 |
| MMLU | 40.2 |
| MMLU Pro | 17.2 |
| MMMU | 34.4 |
| MMStar | 40.9 |
| Multi-IF | 26.2 |
| OCRBench | 657 |
| POPE (F1, pooled over three settings) | 83.8 |
| RealWorldQA - release-reported visual perception | 52.0 |
| SEED-Bench (image) | 63.6 |