NaceAI 发布 Drex：亚 6B 参数决策模型，直接输出选项概率
NaceAI 刚发了 Drex，一个小于 6B 的小模型，专门帮智能体做路由和选工具，不写推理文本直接输出每个选项的概率，比用生成式模型省算力。
NaceAI 推出 Drex，一个小于 6B 参数的决策模型。它在一次前向传播中接收事实输入，为每个可用选项输出概率，不生成推理文本再解析成工具调用或路由决策。该模型面向智能体路由、工具选择、重排序、策略检查等从已知选项集合中做选择的场景。NaceAI 明确将 Drex 定位在这类工作负载上，认为当输出只是一个决策时，生成式文本是不必要的计算开销。
Most agent stacks use a generative model to make decisions that never needed prose in the first place.
@NaceAI just launched Drex, a sub-6B decision model that outputs option probabilities instead of generating prose.
facts in, a probability for each available option out, in one pass. No reasoning paragraph to generate, then parse back into a tool call or routing decision.
And that makes a huge difference for agent routing, tool selection, reranking, policy checks, and other places where the system ultimately needs to choose from a known set. And Nace explicitly positions Drex around those workloads.
If the output you need is a decision, generation can be unnecessary compute.
