New @runedotgl System One decision model 26B parameters 4B active 🎆
Rune, a 26B-parameter System One decision model, launches on Fireworks AI
AIRune is a System One decision model from Rune (@runedotgl) with 26B total parameters and 4B active per token, now live on Fireworks serverless. Per Fireworks AI, it reads a document once and answers up to 256 multiple-choice, true/false, or graded-scale questions in one pass, each with a calibrated probability.
Sophia YangVerified on X
@sophiamyang
@runedotgl is live on Fireworks serverless. It's a System One decision model: 26B parameters of pretrained knowledge, only 4B active per token. It doesn't reason or generate text. It reads a document once and answers up to 256 questions (multiple choice, true/false, graded scale) in a single pass, each with a calibrated probability. → Median latency under 150ms, measured server-side → 262K context, text only → $0.042/1M input, $0.008 cached, $0 output → Serverless or on-demand deployments Try it out → http://fireworks.ai/models/fireworks/rune
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Sophia Yang · x.comPublished · added here
Original title: New @runedotgl System One decision model 26B parameters 4B active 🎆