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LFM2.5 VL 450M

Liquid AIOpen WeightsPending Human Review

The compact visual tier improves multilingual image understanding, grounding, and instruction following through extended pretraining and reinforcement learning. It adds bounding-box prediction and text function calling to visual question answering. Its small footprint supports real-time edge applications that turn image observations into structured language outputs. 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.

2026-04-08
450M
Hybrid short-convolution and attention with multimodal encoder
Liquid Open Model License 1.0

Specifications

Parameters
450M
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-450M

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

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