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Fireworks launches Rune, a 26B decision model for serverless use

AIFireworks says its Rune model, a 26B-parameter System One decision model with 4B active per token, is live on serverless. It reads a document once and answers up to 256 multiple-choice, true/false, or graded questions, each with a calibrated probability.
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@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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Original title: @runedotgl is live on Fireworks serverless.