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πŸ”„ In a Training Loop

Dean Byrne PRO

Quazim0t0

AI & ML interests

DaisyChainAI🌼 / SmallLM's / San Francisco / Open Source

Recent Activity

updated a model about 3 hours ago
Quazim0t0/MaleCNS-SpikeWhale-Anatomy-LM
reacted to Yuki131's post with πŸ”₯ about 3 hours ago
Meet KaLM-Jev β€” 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: πŸ”€ Choice β€” select among candidates, with a probability distribution. πŸ“Š Score β€” return a continuous score over your defined levels. πŸ” Noul β€” 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. πŸ–₯️ Run locally with downloaded weights πŸ“¦ Choose from Nano / Small / Large πŸ”Œ Integrate through HTTP or Python ⚑ Reuse cached candidate/rule representations to reduce repeated encoding πŸ§ͺ 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 We’d love to hear what you’d build with it. Try it out, share feedback, or open an issue! πŸ€— #Jev #Reranker #Agents #LocalAI #OpenSource
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Organizations

Build Small Hackathon's profile picture Neural Verified's profile picture DaisyChainAI's profile picture