LFM2.5-350M

Ultra-compact 350M parameter model for edge devices and low latency deployments

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LFM2.5-350M is Liquid AI’s smallest LFM2.5 text model, designed for edge devices with strict memory and compute constraints. Built on the LFM2.5 architecture with extended pre-training and reinforcement learning, it delivers improved chat, instruction-following, and tool-calling performance over LFM2-350M while keeping the same compact footprint.

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Specifications

Property	Value
Parameters	350M
Context Length	32K tokens
Architecture	LFM2.5 (Dense)

Ultra-Light

Minimal memory and compute footprint

Tool Calling

Native function calling support

Edge-Ready

Runs on mobile and embedded devices

Quick Start

Transformers

llama.cpp

vLLM

SGLang