LFM2.5 VL 1.6B

Name: LFM2.5 VL 1.6B
Author: Liquid AI

Liquid AIOpen WeightsPending Human Review

The first LFM2.5 vision-language checkpoint combines the compact language backbone with image processing. It supports multilingual visual questions, multiple images, and instruction following while targeting local deployment. This is a language-generating multimodal assistant, rather than a detector or standalone image encoder. Downloadable weights use the Liquid Open Model License, whose commercial-use conditions should be checked before deployment. Local inference supports private customization, while task reliability and performance require evaluation on the intended hardware.

2026-01-05

1.6B

Hybrid short-convolution and attention with multimodal encoder

Liquid Open Model License 1.0

Compare with other models

Specifications

Parameters: 1.6B
Architecture: Hybrid short-convolution and attention with multimodal encoder
License: Liquid Open Model License 1.0
Context Window: 32,768 tokens
Type: multimodal
Modalities: textimage

Benchmark Scores

Advanced Specifications

Model Family: LFM
API Access: Not Available
Chat Interface: Available
Multilingual Support: Yes
Variants: LFM2.5-VL-1.6B

Capabilities & Limitations

Capabilities: instruction followinglocal inferencetext generationvisiongrounding
Known Limitations: Custom license conditions applySmall models have limited knowledge and complex reasoning capacityReported speed depends on hardware, precision, and context
Notable Use Cases: local assistantsprivate domain customizationedge agent workflows

Resources

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