I built an open-weight alternative to Jev / TypeSafe - introducing OpenJudgement-4B (early preview)

I’m releasing OpenJudgement-4B-Preview, an experimental Qwen-based model fine-tuned on custom datasets for classification, scoring and true/false judgments. It scores answer options directly, and Python formats the results into JSON with probabilities. It still uses an LLM backbone, but doesn’t gene

中文全文翻译正在补齐，可先查看下方英文原文。

I’m releasing OpenJudgement-4B-Preview, an experimental Qwen-based model fine-tuned on custom datasets for classification, scoring and true/false judgments. It scores answer options directly, and Python formats the results into JSON with probabilities. It still uses an LLM backbone, but doesn’t gene