The jaredpalmer/kev repository presents a family of decision models similar to Jev, built upon Qwen3.5 and Qwen3.8, which can be trained and executed locally.
The chart will appear after repeat observations. The current metric comes from the source.
6,954 GitHub starsReal observations only. History before source connection is not reconstructed.
Useful for users who want to train and run decision models locally using Qwen3.5 or Qwen3.8.
The NandhaKishorM/laya system is a non-autoregressive decision engine that makes typed choices, scores, and yes/no decisions for any text in a single forward pass across 100+ languages, using a router to select the appropriate checkpoint for each request.
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