← Back to Text Models LFM2.5-2.6B is Liquid AI’s 2.6B dense model built for agentic workloads with a 128K context window and native tool calling. It runs on edge devices and it is trained to work reliably inside agent harnesses like Hermes Agent, OpenClaw, and Pi.
Specifications
| Property | Value |
|---|---|
| Parameters | 2.6B |
| Context Length | 128K tokens |
| Architecture | LFM2.5 (dense) |
Agentic & Tool Use
Native tool calling, trained inside real agent harnesses
128K Context
Long context for tool traces and multi-step workflows
On-device
Small enough to run on a laptop or phone
Quick Start
Transformers
llama.cpp
vLLM
SGLang