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AutoTrust-JEV-27B-v1.1 在 Hugging Face 破 16K 下载

开源 27B 决策模型,为 agent 内的路由、选工具、越界意图检测等高频调用返回每个选项的概率,Apache-2.0,可用 vLLM 本地跑。

AutoTrust
@AutoTrustAI7 天前收录原推发布于 2026.10.21
AutoTrust @AutoTrustAI原推发布于 2026.10.21
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Thank you, @HuggingModels. AutoTrust-JEV-27B-v1.1 has now passed 16K downloads on Hugging Face. It is an open 27B decision model for the high-frequency calls inside agent systems: route a request, select a tool, detect an out-of-scope intent, verify a claim, or choose the next action from a fixed set of options. Instead of producing another paragraph, it returns a probability for every available option — making decisions measurable, routable, and easier to audit. Apache-2.0. Run it locally with vLLM: 📷https://huggingface.co/autotrust/AutoTrust-JEV-27B-v1.1

这条是引用着另一条写的:「AutoTrust-JEV-27B-v1.1:面向结构化决策的 27B 分类模型」

x.com/autotrustai/status/2112746959324987828采集于 2026.10.22 10:07