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כתבה MarkTechPost ·

Ember-1: מודל AI חדש מאת Fireworks AI

Fireworks AI Releases Ember-1: A Post-Trained Kimi K3 That Uses About 40% Fewer Tokens
Fireworks AI השיקה את Ember-1, מודל מתקדם שנבנה על בסיס Kimi K3. המודל החדש לומד לייצר רצפים קצרים יותר תוך כדי שמירה על דיוק המשימות. Ember-1 משתמש בכ-40% פחות טוקנים מ-Kimi K3.
תקציר מקורי באנגליתFireworks AI has released Ember-1 , a specialized model from Fireworks Research built by post-training Moonshot AI’s open-weight Kimi K3 . Ember-1 learns to produce shorter reasoning traces while keeping task accuracy. This is different from lowering the reasoning effort setting at inference time. According to the Fireworks release post , Ember-1 delivers Kimi K3’s quality with about 40% fewer tokens. Is it deployable? Yes, but only through the Fireworks serverless API as a Research Preview. Fireworks has not released Ember-1’s weights, training code, or exact training algorithms, so self-hosting is not an option today. The Problem: Reasoning Models Think Too Much Fireworks team reports that reasoning models like Kimi K3 sometimes spend more than 90% of generated tokens o
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