LFM2.5 VL 450M
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