AWS Strands Labs 开源决策模型 Strands Decider 2B，单次推理约 115 毫秒
AWS Strands Labs Releases Strands Decider 2B: An Open Source Decision Model That Picks Options in About 115 ms
AWS 开源了个 2B 小模型，专门替智能体做选择，115 毫秒出结果还带置信度，做路由和工具调用判断挺实用。
AWS 的 Strands Agents 团队发布了开源决策模型 Strands Decider 2B，采用 Apache-2.0 许可证，基于 Qwen3.5-2B-Base 构建。模型在单次前向传播中直接输出选项、yes/no 概率和带校准置信度的分数，不生成文本。在 RTX 3090 上中位延迟为 115 毫秒，在 JevBench 公开测试集上得分为 0.723。它面向 AI 智能体中的路由、工具选择和护栏判断等场景，可作为本地快速运行的选择。
AWS Strands Labs Releases Strands Decider 2B: An Open Source Decision Model That Picks Options in About 115 ms
AWS's Strands Agents team released Strands Decider 2B, an Apache-2.0 decision model built on Qwen3.5-2B-Base. It returns choices, yes/no probabilities and scores with calibrated confidence in one forward pass, never text. It runs at a 115 ms median on an RTX 3090 and scores 0.723 on the JevBench public set, which makes it a fast local option for routing, tool selection and guardrails in AI agents. The post AWS Strands Labs Releases Strands Decider 2B: An Open Source Decision Model That Picks Options in About 115 ms appeared first on MarkTechPost .
- IT之家10-03 08:50原文
