💥什么鬼！本地开源 Jev 居然杀到了 0 输出 Token，自带三档模型直接落地结构化判断！
This is a dev post classified by Jev as AI dev tools (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
💥什么鬼！本地开源 Jev 居然杀到了 0 输出 Token，自带三档模型直接落地结构化判断！ 想用 Jev 那种只给结论、不废话的判断能力，又不想把数据送上云？KaLM-Jev 开源了。基于 KaLM-Reranker-V1-R2，把模型做成完全本地的 Choice / Score / Noul 服务 核心亮点 🔹三种判断：Choice 从候选里选一项；Score 按自定义等级打分；Noul 判断条件成立的可能性 🔹三档规格：Nano 更省资源，Small 平衡速度与效果，Large 追求更高判断质量 🔹本地部署：HTTP / Python 直接调用，支持文档缓存、GPU 测试、中英文用例 🔹场景对口：智能客服分流、Agent 路由、内容审核、工单分类、风险判断、自动化工作流 快速上手 1️⃣建虚拟环境并安装：python -m venv .venv && source .venv/bin/activate && pip install -e '.[test]' 2️⃣起服务（按显存选档）：kalm-jev serve --model kalm-jev-nano --device cuda --dtype bfloat16 3️⃣调接口：POST /v1/systemone，传入 state + questions，拿回结构化 JSON 4️⃣或直接 Python：E
Posted by SuSu_酥酥👅 (16.2k followers) 1 days ago · 100 likes · 18.5k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: kalm-jev, semif.
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