LFM2.5-VL-450M

Compact 450M vision-language model with enhanced performance for edge deployment

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LFM2.5-VL-450M is Liquid AI’s smallest vision-language model, building on LFM2-VL-450M with extended reinforcement learning for improved performance while maintaining the same compact deployment footprint.

HFGGUFONNX

Specifications

Property	Value
Parameters	450M
Context Length	32K tokens
Architecture	LFM2.5-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