← 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.Documentation Index
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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