The article reports Fireworks’ claim that Ember-1, built from Kimi K3, uses roughly 40% fewer tokens while maintaining comparable quality across its evaluations. Raschka attributes the efficiency direction to training for shorter reasoning traces, while explicitly noting that the underlying recipe remains undisclosed.
Raw SignalSep 28, 20261 min read1 source
Sebastian Raschka uses Fireworks’ Ember-1 as a case study for post-training an existing open-weight LLM
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Sebastian Raschka uses Fireworks’ Ember-1 as a case study for post-training an existing open-weight LLM rather than repeating costly frontier-scale pretraining.