Specifications
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
LFM2.5-350M
Ultra-compact 350M parameter model for edge devices and low latency deployments
← Back to Text Models
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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