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LFM2.5-VL is Liquid AI's family of compact vision-language models designed for efficient multimodal understanding and deployment on edge devices. The family combines Liquid's hybrid convolution-and-attention language architecture with SigLIP2-based vision encoders, supporting image understanding, instruction following, and lightweight agentic workflows with dynamic image-token allocation. The models are based on the LFM2 technical report and are designed to provide different capability and efficiency points for resource-constrained multimodal applications.
Technical reference: LFM2 Technical Report — arXiv:2511.23404
LFM2.5-VL-450M
LFM2.5-VL-450M is the smallest variant, combining the LFM2.5-350M language backbone with an 86M-parameter SigLIP2 NaFlex vision encoder. Its compact footprint, dynamic image-token allocation, multilingual support, and native processing of images up to 512×512 make it particularly suitable for highly constrained edge and embedded deployments.
Model Configuration:
- Reference implementation: transformers
- Original Weight: LFM2.5-VL-450M
- Vision Encoder: SigLIP2 NaFlex (86M)
- Language Model: LFM2.5-350M
- Resolution: 512×512
- Support Cooper version:
- Cooper SDK: [2.5.4] + Shepherd_1.6.8
- Cooper Foundry: [2.3] + Shepherd_1.6.8
| Model | Device | Model Link |
|---|---|---|
| LFM2.5-VL-450M | CV72 | Model_Link |
| LFM2.5-VL-450M | CV75 | Model_Link |
LFM2.5-VL-1.6B
LFM2.5-VL-1.6B increases language-model and visual-encoder capacity to provide a stronger balance between multimodal capability and inference efficiency. It is targeted at applications requiring more capable visual reasoning and instruction following while retaining the low-latency, edge-oriented design of the LFM2.5-VL family.
Model Configuration:
- Reference implementation: transformers
- Original Weight: LFM2.5-VL-1.6B
- Vision Encoder: SigLIP2 NaFlex (400M)
- Language Model: LFM2.5-1.2B-Base
- Resolution: 512×512
- Support Cooper version:
- Cooper SDK: [2.5.4] + Shepherd_1.6.8
- Cooper Foundry: [2.3] + Shepherd_1.6.8
| Model | Device | Model Link |
|---|---|---|
| LFM2.5-VL-1.6B | N1-655 | Model_Link |
| LFM2.5-VL-1.6B | X7 | Model_Link |
| LFM2.5-VL-1.6B | CV7 | Model_Link |
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