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m4xx
m4xx101
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Meet KaLM-Jev โ your local, Jev-style judgment engine, available in Nano, Small, and Large. Building an agent or automation workflow? Sometimes all you need is a choice, a score, or a signal that a condition holds. Built on KaLM-Reranker-R2, KaLM-Jev turns these decisions into structured outputs through three primitives: ๐ Choice โ select among candidates, with a probability distribution. ๐ Score โ return a continuous score over your defined levels. ๐ Noul โ evaluate conditions independently, so multiple conditions can hold at once. Think support-ticket routing, bug severity scoring, human-escalation detection, or candidate tool selection for agents. ๐ฅ๏ธ Run locally with downloaded weights ๐ฆ Choose from Nano / Small / Large ๐ Integrate through HTTP or Python โก Reuse cached candidate/rule representations to reduce repeated encoding ๐งช Explore included examples, bilingual semantic smoke tests, and recorded GPU validation results No answer-text generation: `output_tokens = 0`. Inference still runs to compute the judgments. KaLM-Jev is an independent implementation based on KaLM-Reranker, not an official TypeSafe project or a guarantee of full Jev compatibility. Scores are uncalibrated; validate thresholds on your own tasks. Code & quickstart: https://github.com/KaLM-Embedding/KaLM-Jev https://huggingface.co/spaces/Yuki131/KaLM-Jev Weโd love to hear what youโd build with it. Try it out, share feedback, or open an issue! ๐ค #Jev #Reranker #Agents #LocalAI #OpenSource
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