Vision Models

Liquid’s LFM vision models pair our lightweight LFM text backbones with dynamic SigLIP2 image encoders, delivering fast multimodal inference on-device while matching larger VLMs in quality.

Image Captioning

Detailed descriptions, alt-text generation, and visual summarization.

OCR & Extraction

Text recognition, form parsing, and document digitization.

Visual Reasoning

Scene understanding, spatial relations, and visual Q&A.

Continuous Capture

Always-on activity recognition and scene monitoring on-device.

LFM2.5 Models   Latest release

LFM2.5-VL builds on LFM2-VL with extended reinforcment learning training for higher performance while maintaining the same architecture and deployment footprint.

LFM2.5-VL-1.6B

1.6B · Recommended

Best vision model for most use cases. Fast and accurate.

LFM2 Models

LFM2-VL-3B

3B

Highest-capacity multimodal model with enhanced visual reasoning.

LFM2-VL-1.6B

1.6B · Deprecated

Use the new LFM2.5-VL-1.6B checkpoint instead.

LFM2-VL-450M

450M · Fastest

Compact multimodal model for edge deployment and fast inference.