Strands drops a 2B model that ditches text to decide in 115ms
Strands just open-sourced Decider 2B, a small model built strictly for fast decision-making rather than chatting. Built on a Qwen3.5-2B backbone with a custom pointer head, it picks between predefined options with confidence scores in a median 115ms on an RTX 3090. Why it matters: It gives local agents cheap, reliable guardrails before firing expensive LLM calls.