Bespoke Labs replicates TypeSafe Jev and releases Bespoke
Bespoke Labs reproduced Jev as open-source Bespoke Nimble, publishing data, weights, and training recipe in two days to match Jev on fast structured decisions with a 9B model.
The original post, translated
Bespoke Labs replicates TypeSafe Jev and releases Bespoke Nimble as Open Jev. Bespoke Nimble's data, model weights, and training recipe are all public, and the entire project took only two days of "building in public." @bespokelabsai, through a high-quality data recipe + minimalist inference engineering, on the vertical task of "fast structured decision-making," used a 9B small model to approach Jev's performance.
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Bespoke Labs 复刻 TypeSafe Jev 发布 Bespoke Nimble 作为 Open Jev，Bespoke Nimble 的数据、模型权重、训练配方全部公开，整个项目只花了两天时间“公开构建”。 @bespokelabsai 通过一个高质量的数据配方 + 极简推理工程，在“快速结构化决策”这个垂直任务上，用 9B 小模型逼近了 Jev 表现。
The post above is a machine translation from zh; the untranslated text is in the fold-out.
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under general Jev builds. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Browse the full case library for the work it sits next to.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post