LFM2-VL-450M

Compact 450M vision-language model for edge deployment and fast inference

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LFM2-VL-450M is Liquid AI’s smallest vision-language model, designed for edge deployment with strict memory and compute constraints. Delivers fast multimodal inference on resource-limited devices.

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Specifications

Property	Value
Parameters	450M
Context Length	32K tokens
Architecture	LFM2-VL (Dense)

Ultra-Light

Minimal memory footprint

Low Latency

Fastest vision model inference

Edge-Ready

Runs on mobile and embedded devices

Quick Start

Transformers

vLLM

SGLang

llama.cpp