built on a tri-hybrid architecture with a 256K-token context window, it runs at about 1 GB at 4-bit precision (phone or laptop), was post-trained for agentic harnesses including Hermes Agent, Pi, and OpenClaw, and posts agent numbers the vendor says used to need ~9B parameters — LiveClaw 45.60 against Qwen3.5-9B's 35.77 and BFCL V4 tool use 71.39 — while Liquid itself warns it is not recommended for agentic coding or complex multi-step reasoning. The AlphaSignal headline ("six 2B models matching rivals six times larger") is the vendor's family framing; the linked checkpoint is this single 1.73B model.